{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T01:27:08Z","timestamp":1771550828787,"version":"3.50.1"},"reference-count":73,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T00:00:00Z","timestamp":1520294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper presents an analysis of the integration between interferometric and intensity-offset tracking-based SAR remote sensing for landslide hazard mitigation in the Italian Alps. Despite the advantages of Synthetic Aperture Radar Interferometry (InSAR) methods for quantifying landslide deformation, some limitations remain. The temporal decorrelation, the 1-D Line Of Sight (LOS) observation restriction, the high velocity rate and the multi-directional movement properties make it difficult to monitor accurately complex landslides in areas covered by vegetation. Therefore, complementary and integrated approaches, such as offset tracking-based techniques, are needed to overcome these InSAR limitations for monitoring ground surface deformations. As sub-pixel offset tracking is highly sensitive to data spatial resolution, the latest generations of SAR sensors, such as TerraSAR-X and COSMO-SkyMed, open interesting perspective for a more accurate hazard assessment. In this paper, we consider high-resolution X-band data acquired by the COSMO-SkyMed (CSK) constellation for Permanent Scatterers Interferometry (PSI), Multi-Aperture Interferometry (MAI) and offset tracking processing. We analyze the offset tracking techniques considering area and feature-based matching algorithms to evaluate their applicability to CSK data by improving sub-pixel offset estimations. To this end, PSI and MAI are used for extracting LOS and azimuthal displacement components. Then, four well-known area-based and five feature-based matching algorithms (taken from computer vision) are applied to 16 X-band corner reflectors. Results show that offset estimation accuracy can be considerably improved up to less than 3% of the pixel size using the combination of the different feature-based detectors and descriptors. A sensitivity analysis of these techniques applied to CSK data to monitor complex landslides in the Italian Alps provides indications on advantages and disadvantages of each of them.<\/jats:p>","DOI":"10.3390\/rs10030409","type":"journal-article","created":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T12:16:27Z","timestamp":1520338587000},"page":"409","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors\u2014Italian Alps (Corvara)"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2967-6667","authenticated-orcid":false,"given":"Mehdi","family":"Darvishi","sequence":"first","affiliation":[{"name":"Institute for Earth Observation, Eurac Research, 39100 Bolzano-Bozen, Italy"},{"name":"Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2482-2522","authenticated-orcid":false,"given":"Romy","family":"Schl\u00f6gel","sequence":"additional","affiliation":[{"name":"Institute for Earth Observation, Eurac Research, 39100 Bolzano-Bozen, Italy"},{"name":"ESA Climate Office, European Centre for Space Applications and Telecommunications (ECSAT), Didcot OX11 0FD, UK"}]},{"given":"Lorenzo","family":"Bruzzone","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy"}]},{"given":"Giovanni","family":"Cuozzo","sequence":"additional","affiliation":[{"name":"Institute for Earth Observation, Eurac Research, 39100 Bolzano-Bozen, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1088\/0266-5611\/14\/4\/001","article-title":"Synthetic aperture radar interferometry","volume":"14","author":"Bamler","year":"1998","journal-title":"Inverse Probl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1109\/36.175330","article-title":"Decorrelation in interferometric radar echoes","volume":"30","author":"Zebker","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7547","DOI":"10.1029\/96JB03804","article-title":"Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps","volume":"102","author":"Zebker","year":"1997","journal-title":"J. Geophys."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/36.898661","article-title":"Permanent scatterers in SAR interferometry","volume":"39","author":"Ferretti","year":"2001","journal-title":"IEEE Trans.Geosci. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006JB004763","article-title":"Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volc\u00e1n Alcedo, Gal\u00e1pagos","volume":"112","author":"Hooper","year":"2007","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2446","DOI":"10.1109\/TGRS.2004.835222","article-title":"Ambiguity resolution for permanent scatterer interferometry","volume":"42","author":"Kampes","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TGRS.2002.803792","article-title":"A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms","volume":"40","author":"Berardino","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"8323","DOI":"10.3390\/rs70708323","article-title":"StaMPS improvement for deformation analysis in mountainous regions: Implications for the Damavand volcano and Mosha fault in Alborz","volume":"7","author":"Vajedian","year":"2015","journal-title":"Remote Sens."},{"key":"ref_9","first-page":"76","article-title":"Landslides: Investigation and mitigation. Chapter 3-Landslide types and processes","volume":"247","author":"Cruden","year":"1996","journal-title":"Transp. Res. Board Spec. Rep."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1109\/TGRS.2011.2124465","article-title":"A new algorithm for processing interferometric data-stacks: SqueeSAR","volume":"49","author":"Ferretti","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1109\/LSP.2007.904705","article-title":"Hybrid Cram\u00e9r-Rao bounds for crustal displacement field estimators in SAR interferometry","volume":"14","author":"Guarnieri","year":"2007","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1109\/TGRS.2014.2352853","article-title":"CAESAR: An approach based on covariance matrix decomposition to improve multibaseline-multitemporal interferometric SAR processing","volume":"53","author":"Fornaro","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/LGRS.2010.2089494","article-title":"SAR image stacking for the exploitation of long-term coherent targets","volume":"8","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2017.2711037","article-title":"Sequential Estimator\u202f: Toward Efficient InSAR Time Series Analysis","volume":"55","author":"Ansari","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1111\/ter.12127","article-title":"Measuring the north-south coseismic displacement component with high-resolution multi-aperture InSAR","volume":"27","author":"Pezzo","year":"2015","journal-title":"Terra Nov."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"12440","DOI":"10.3390\/rs70912440","article-title":"Mapping two-dimensional deformation field time-series of large slope by coupling DInSAR-SBAS with MAI-SBAS","volume":"7","author":"He","year":"2015","journal-title":"Remote Sens."},{"key":"ref_17","unstructured":"Van Oostveen, J.G. (2017, July 10). Optimized Extraction of InSAR Derived Along-Track Deformation during Glacial Surges\u2014Towards a Better Understanding of the Dyngjuj\u00f6kull Glacier in Surge State. Available online: https:\/\/repository.tudelft.nl\/islandora\/object\/uuid%3A5852018f-8db9-4639-a1e8-aa31ce6571f6."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1109\/36.210464","article-title":"Topographic mapping using radar interferometry: Processing techniques","volume":"31","author":"Madsen","year":"1993","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.1109\/36.868876","article-title":"Coregistration of Interferometric SAR Images Using Spectral Diversity","volume":"38","author":"Scheiber","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006GL026883","article-title":"Measuring two-dimensional movements using a single InSAR pair","volume":"33","author":"Bechor","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2859","DOI":"10.1109\/TGRS.2009.2016554","article-title":"An improvement of the performance of multiple-aperture SAR interferometry (MAI)","volume":"47","author":"Jung","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1109\/LGRS.2004.843203","article-title":"Accuracy of Differential Shift Estimation by Correlation and Split-Bandwidth Interferometry for Wideband and Delta-k SAR Systems","volume":"2","author":"Bamler","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","unstructured":"Werner, C., Strozzi, T., Wiesmann, A., Wegmuller, U., Murray, T., Pritchard, L., and Luckman, A. (2001, January 9\u201313). Complimentary measurement of geophysical deformation using repeat-pass SAR. Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Roma, N., Santos-Victor, J., and Tom\u00e9, J. (2012). A Comparative Analysis of Cross-Correlation Matching Algorithms Using a Pyramidal Resolution Approach. Empir. Eval. Methods Comput. Vis., 117\u2013142.","DOI":"10.1142\/9789812777423_0006"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/S0921-8890(97)00007-9","article-title":"Performance Evaluation of Optical Flow Estimators: Assessment of a New Affine Flow Method","volume":"21","author":"Grossman","year":"1997","journal-title":"Rob. Auton. Syst."},{"key":"ref_26","unstructured":"Biederman, I. (1995). Visual Object Recognition. An Invitation to Cognitive Science, The MIT Press. [2nd ed.]."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Leutenegger, S., Chli, M., and Siegwart, R.Y. (2011, January 6\u201313). BRISK: Binary Robust invariant scalable keypoints. Proceedings of the 2011 International Conference on Computer Vision, Barcelona, Spain.","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"ref_28","unstructured":"Shi, J., and Tomasi, C. (1994, January 21\u201323). Good features to track. Proceedings of the 1994 IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA."},{"key":"ref_29","unstructured":"Harris, C., and Stephens, M. (September, January 31). A Combined Corner and Edge Detector. Proceedings of the Alvey Vision Conference, Manchester, UK."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1007\/11744023_34","article-title":"Machine learning for high-speed corner detection","volume":"3951 LNCS","author":"Rosten","year":"2006","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1007\/11744023_32","article-title":"SURF: Speeded up robust features","volume":"3951","author":"Bay","year":"2006","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive Image Features from","volume":"60","author":"Keypoints","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TGRS.2014.2323552","article-title":"SAR-SIFT\u202f: A SIFT-Like Algorithm for SAR Images","volume":"53","author":"Dellinger","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/LGRS.2016.2600858","article-title":"Remote Sensing Image Registration With Modified SIFT and Enhanced FeatureMatching","volume":"14","author":"Ma","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_35","first-page":"169","article-title":"Geomorphological investigation and management of the Corvara landslide (Dolomites, Italy)","volume":"20","author":"Corsini","year":"1999","journal-title":"JGU Trans."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Schl\u00f6gel, R., Thiebes, B., Mulas, M., Cuozzo, G., Notarnicola, C., Schneiderbauer, S., Crespi, M., Mazzoni, A., Mair, V., and Corsini, A. (2017). Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy). Remote Sens., 9.","DOI":"10.3390\/rs9070739"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"657","DOI":"10.5194\/nhess-7-657-2007","article-title":"Landslide risk analysis: A multi-disciplinary methodological approach","volume":"7","author":"Sterlacchini","year":"2007","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.geomorph.2004.09.012","article-title":"Field monitoring of the Corvara landslide (Dolomites, Italy) and its relevance for hazard assessment","volume":"66","author":"Corsini","year":"2005","journal-title":"Geomorphology"},{"key":"ref_39","unstructured":"Thiebes, B., Tomelleri, E., Mejia-aguilar, A., Schl\u00f6gel, R., and Darvishi, M. (2016, January 17\u201322). UAV-based landslide deformation monitoring\u2014First results from Corvara landslide. Proceedings of the EGU General Assembly, Vienna, Austria."},{"key":"ref_40","unstructured":"Mikos, M., Tiwari, B., Yin, Y., and Sassa, K. (2017). Sensor Data Integration for Landslide Monitoring\u2014the LEMONADE Concept. Advancing Culture of Living with Landslides: Volume 2 Advances in Landslide Science, Springer International Publishing."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/S0013-7952(02)00195-3","article-title":"Monitoring landslides and tectonic motions with the Permanent Scatterers Technique","volume":"68","author":"Colesanti","year":"2003","journal-title":"Eng. Geol."},{"key":"ref_42","unstructured":"Kampes, B.M. (2006). Radar Interferometry."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1029\/97RG03139","article-title":"Radar interferometry and its application to changes in the Earth\u2019s surface","volume":"36","author":"Massonnet","year":"1998","journal-title":"Rev. Geophys."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Spagnolini, U. (1995). 2-D phase unwrapping and instantaneous frequency estimation. IEEE Trans. Geosci. Remote Sens., 33.","DOI":"10.1109\/36.387574"},{"key":"ref_45","unstructured":"SARMAP (2012). SARScape: Technical Description, SARMAP."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"23","DOI":"10.5194\/gi-4-23-2015","article-title":"Image georectification and feature tracking toolbox: ImGRAFT","volume":"4","author":"Messerli","year":"2015","journal-title":"Geosci. Instrum. Methods Data Syst."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1109\/TGRS.2006.888937","article-title":"Automatic, Precise, Ortho-rectification and Coregistration for satellite Image Correlation, Application to Ground Deformation Measurement","volume":"45","author":"Leprince","year":"2007","journal-title":"IEEE J. Geosci. Rem. Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.isprsjprs.2009.03.005","article-title":"Co-registration and correlation of aerial photographs for ground deformation measurements","volume":"64","author":"Ayoub","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1002\/1099-1530(200012)11:4<315::AID-PPP365>3.0.CO;2-J","article-title":"Surface geometry, thickness change and flow fields on creeping mountain permafrost: Automatic extraction by digital image analysis","volume":"11","author":"Vollmer","year":"2000","journal-title":"Permafr. Periglac. Process."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.rse.2011.11.024","article-title":"Evaluation of existing image matching methods for deriving glacier surface displacements globally from optical satellite imagery","volume":"118","author":"Heid","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_51","unstructured":"(2016). MATLAB version 9.1.0 (R2016b), The MathWorks Inc."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Hanssen, R.F. (2001). Radar Interferometry: Data Interpretation and Error Analysis, Springer Science & Business Media.","DOI":"10.1007\/0-306-47633-9"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Fitch, A.J., Kadyrov, A., Christmas, W.J., and Kittler, J. (2002). Orientation Correlation. Br. Mach. Vis. Conf., 133\u2013142.","DOI":"10.5244\/C.16.11"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.cmpb.2006.02.007","article-title":"Fast normalized cross correlation for motion tracking using basis functions","volume":"82","author":"Hii","year":"2006","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Alahi, A., Ortiz, R., and Vandergheynst, P. (2012, January 16\u201321). FREAK: Fast retina keypoint. Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA.","DOI":"10.1109\/CVPR.2012.6247715"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1145\/358669.358692","article-title":"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography","volume":"24","author":"Fischler","year":"1981","journal-title":"Commun. ACM"},{"key":"ref_57","unstructured":"Adam, N., Kampes, B., and Eineder, M. (2004, January 6\u201310). Development of a scientific permanent scatterer system: Modifications for mixed ERS\/ENVISAT time series. Proceedings of the 2004 Envisat & ERS Symposium (ESA SP-572), Salzburg, Austria."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1109\/36.193786","article-title":"Sar Calibration: An Overview","volume":"30","author":"Freeman","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_59","unstructured":"Marinkovic, P., Ketelaar, G., Van Leijen, F., and Hanssen, R. (2007, January 26\u201330). InSAR quality control: Analysis of five years of corner reflector time series. Proceedings of the FRINGE 2007 Workshop, Frascati, Italy."},{"key":"ref_60","unstructured":"Van Leijen, F.J. (2014). Persistent Scatterer Interferometry Based on Geodetic Estimation Theory. [Doctoral Thesis, Delft University of Technology]."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"17703","DOI":"10.3390\/s140917703","article-title":"Theoretical accuracy of along-track displacement measurements from multiple-aperture interferometry (MAI)","volume":"14","author":"Jung","year":"2014","journal-title":"Sensors"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1109\/LGRS.2013.2255259","article-title":"Accuracy of incoherent speckle tracking for circular gaussian signals","volume":"11","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_63","unstructured":"Bamler, R., and Eineder, M. (2004, January 20\u201324). Split band interferometry versus absolute ranging with wideband SAR systems. Proceedings of the International IEEE Geoscience and Remote Sensing Symposium, IGARSS \u201904, Anchorage, AK, USA."},{"key":"ref_64","first-page":"1","article-title":"Fast Normalized Cross-Correlation Template Matching by Cross","volume":"1995","author":"Lewis","year":"1995","journal-title":"Vis. Int."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.rse.2010.08.012","article-title":"Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation","volume":"115","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_66","unstructured":"Hanaizumi, N., and Fujimur, S. (1993, January 18\u201321). An automated method for registration of satellite remote sensing images. Proceedings of the Better Understanding of Earth Environment, International on Geoscience and Remote Sensing Symposium, Tokyo, Japan."},{"key":"ref_67","unstructured":"Berthilsson, R. (1998, January 20). Affine correlation. Proceedings of the Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), Brisbane, Queensland, Australia."},{"key":"ref_68","unstructured":"Simper, A. (1996, January 19). Correcting general band-to-band misregistrations. Proceedings of 3rd IEEE International Conference on Image Processing, Lausanne, Switzerland."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1109\/TPAMI.2005.188","article-title":"A performance evaluation of local descriptors","volume":"27","author":"Mikolajczyk","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1007\/978-3-642-33709-3_54","article-title":"Comparative evaluation of binary features","volume":"7573 LNCS","author":"Heinly","year":"2012","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_71","first-page":"1","article-title":"Quantitative and qualitative comparison of some area and feature based stereo algorithms","volume":"2502","author":"Faugeras","year":"1992","journal-title":"Robust Comput. Vis. Qual. Vis. Algorithm"},{"key":"ref_72","first-page":"58","article-title":"A Survey On Image Matching Methods","volume":"2","author":"Krishnan","year":"2016","journal-title":"JLRET"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1561\/0600000017","article-title":"Local Invariant Feature Detectors: A Survey","volume":"3","author":"Tuytelaars","year":"2007","journal-title":"Found. Trends\u00ae Comput. Graph. Vis."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/3\/409\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:57:44Z","timestamp":1760194664000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/3\/409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,6]]},"references-count":73,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,3]]}},"alternative-id":["rs10030409"],"URL":"https:\/\/doi.org\/10.3390\/rs10030409","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,6]]}}}