{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:32:08Z","timestamp":1769556728740,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T00:00:00Z","timestamp":1526342400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["FPU16\/03537"],"award-info":[{"award-number":["FPU16\/03537"]}],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["TIN2016-76373-P"],"award-info":[{"award-number":["TIN2016-76373-P"]}],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008425","name":"Conseller\u00eda de Cultura, Educaci\u00f3n e Ordenaci\u00f3n Universitaria, Xunta de Galicia","doi-asserted-by":"publisher","award":["GRC2014\/008"],"award-info":[{"award-number":["GRC2014\/008"]}],"id":[{"id":"10.13039\/501100008425","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008425","name":"Conseller\u00eda de Cultura, Educaci\u00f3n e Ordenaci\u00f3n Universitaria, Xunta de Galicia","doi-asserted-by":"publisher","award":["ED431G\/08"],"award-info":[{"award-number":["ED431G\/08"]}],"id":[{"id":"10.13039\/501100008425","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008431","name":"Consejer\u00eda de Educaci\u00f3n, Junta de Castilla y Le\u00f3n","doi-asserted-by":"publisher","award":["VA082P17"],"award-info":[{"award-number":["VA082P17"]}],"id":[{"id":"10.13039\/501100008431","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Image registration is a common operation in any type of image processing, specially in remote sensing images. Since the publication of the scale\u2013invariant feature transform (SIFT) method, several algorithms based on feature detection have been proposed. In particular, KAZE builds the scale space using a nonlinear diffusion filter instead of Gaussian filters. Nonlinear diffusion filtering allows applying a controlled blur while the important structures of the image are preserved. Hyperspectral images contain a large amount of spatial and spectral information that can be used to perform a more accurate registration. This article presents HSI\u2013KAZE, a method to register hyperspectral remote sensing images based on KAZE but considering the spectral information. The proposed method combines the information of a set of preselected bands, and it adapts the keypoint descriptor and the matching stage to take into account the spectral information. The method is adequate to register images in extreme situations in which the scale between them is very different. The effectiveness of the proposed algorithm has been tested on real images taken on different dates, and presenting different types of changes. The experimental results show that the method is robust achieving image registrations with scales of up to     24 . 0 \u00d7    .<\/jats:p>","DOI":"10.3390\/rs10050756","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T11:36:13Z","timestamp":1526384173000},"page":"756","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Alignment of Hyperspectral Images Using KAZE Features"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2753-5390","authenticated-orcid":false,"given":"\u00c1lvaro","family":"Ord\u00f3\u00f1ez","sequence":"first","affiliation":[{"name":"Centro Singular de Investigaci\u00f3n en Tecnolox\u00edas da Informaci\u00f3n (CiTIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9279-5426","authenticated-orcid":false,"given":"Francisco","family":"Arg\u00fcello","sequence":"additional","affiliation":[{"name":"Departamento de Electr\u00f3nica e Computaci\u00f3n, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5304-1426","authenticated-orcid":false,"given":"Dora","family":"Heras","sequence":"additional","affiliation":[{"name":"Centro Singular de Investigaci\u00f3n en Tecnolox\u00edas da Informaci\u00f3n (CiTIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Thenkabail, P.S., and Lyon, J.G. (2016). Hyperspectral Remote Sensing of Vegetation, CRC Press.","DOI":"10.1201\/b11222"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"5918","DOI":"10.1080\/01431161.2016.1251629","article-title":"GPU classification of remote-sensing images using kernel ELM and extended morphological profiles","volume":"37","author":"Garea","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1109\/TGRS.2003.812908","article-title":"Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping","volume":"41","author":"Kruse","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","unstructured":"Sun, D.W. (2010). Hyperspectral Imaging for Food Quality Analysis and Control, Elsevier."},{"key":"ref_5","unstructured":"L\u00f3pez-Fandi\u00f1o, J., Heras, D.B., Arg\u00fcello, F., and Mura, M.D. (2017, January 10\u201311). GPU Framework for Change Detection in Multitemporal Hyperspectral Images. Proceedings of the 10th International Symposium on High-Level Parallel Programming and Applications, Valladolid, Spain."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","article-title":"Image registration methods: A survey","volume":"21","author":"Zitova","year":"2003","journal-title":"Image Vis. Comput."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1109\/TAES.1974.307828","article-title":"Correlation techniques of image registration","volume":"AES-10","author":"Pratt","year":"1974","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/S1361-8415(01)80004-9","article-title":"Multi-modal volume registration by maximization of mutual information","volume":"1","author":"Wells","year":"1996","journal-title":"Med. Image Anal."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4869","DOI":"10.1109\/JSTARS.2017.2734052","article-title":"GPU Accelerated FFT-Based Registration of Hyperspectral Scenes","volume":"10","author":"Heras","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"Bay","year":"2008","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Alcantarilla, P.F., Bartoli, A., and Davison, A.J. (2012, January 7\u201313). KAZE features. Proceedings of the European Conference on Computer Vision, Florence, Italy.","DOI":"10.1007\/978-3-642-33783-3_16"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Agrawal, M., Konolige, K., and Blas, M.R. (2008, January 12\u201318). Censure: Center surround extremas for realtime feature detection and matching. Proceedings of the European Conference on Computer Vision, Marseille, France.","DOI":"10.1007\/978-3-540-88693-8_8"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Calonder, M., Lepetit, V., Strecha, C., and Fua, P. (2010, January 5\u201311). Brief: Binary robust independent elementary features. Proceedings of the Computer Vision\u2013ECCV 2010, Crete, Greece.","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., and Bradski, G. (2011, January 6\u201313). ORB: An efficient alternative to SIFT or SURF. Proceedings of the 2011 International Conference on Computer Vision, Barcelona, Spain.","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Levi, G., and Hassner, T. (2016, January 7\u20139). LATCH: Learned arrangements of three patch codes. Proceedings of the WACV 2016: IEEE Winter Conference on Application of Computer Vision, Lake Placid, NY, USA.","DOI":"10.1109\/WACV.2016.7477723"},{"key":"ref_17","first-page":"1281","article-title":"Fast explicit diffusion for accelerated features in nonlinear scale spaces","volume":"34","author":"Alcantarilla","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1049\/el:20082477","article-title":"Multi-spectral remote image registration based on SIFT","volume":"44","author":"Yi","year":"2008","journal-title":"Electron. Lett."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1109\/LGRS.2008.2011751","article-title":"Robust scale-invariant feature matching for remote sensing image registration","volume":"6","author":"Li","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_20","unstructured":"Mehmet, F., Yardimci, Y., and Temlzel, A. (2009, January 12\u201317). Registration of multispectral satellite images with orientation-restricted SIFT. Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Teke, M., and Temizel, A. (2010, January 23\u201326). Multi-spectral satellite image registration using scale-restricted SURF. Proceedings of the 20th International Conference on Pattern Recognition, Istanbul, Turkey.","DOI":"10.1109\/ICPR.2010.565"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Hasan, M., Jia, X., Robles-Kelly, A., Zhou, J., and Pickering, M.R. (2010, January 25\u201330). Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5653482"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1109\/TGRS.2008.2011280","article-title":"Interest points for hyperspectral image data","volume":"47","author":"Mukherjee","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4521","DOI":"10.1109\/TGRS.2012.2191791","article-title":"A vector SIFT detector for interest point detection in hyperspectral imagery","volume":"50","author":"Mukherjee","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1109\/34.56205","article-title":"Scale-space and edge detection using anisotropic diffusion","volume":"12","author":"Perona","year":"1990","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1109\/83.661190","article-title":"Efficient and reliable schemes for nonlinear diffusion filtering","volume":"7","author":"Weickert","year":"1998","journal-title":"IEEE Trans. Image Process."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1006\/jvci.2001.0495","article-title":"A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance","volume":"13","author":"Weickert","year":"2002","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Grewenig, S., Weickert, J., and Bruhn, A. (2010). From Box Filtering to Fast Explicit Diffusion. DAGM-Symposium, Springer.","DOI":"10.1007\/978-3-642-15986-2_54"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1137\/0729052","article-title":"Image selective smoothing and edge detection by nonlinear diffusion. II","volume":"29","author":"Alvarez","year":"1992","journal-title":"SIAM J. Numer. Anal."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1109\/JPROC.2012.2229082","article-title":"Feature mining for hyperspectral image classification","volume":"101","author":"Jia","year":"2013","journal-title":"Proc. IEEE"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Richards, J.A. (1999). Remote Sensing Digital Image Analysis, Springer.","DOI":"10.1007\/978-3-662-03978-6"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1109\/LGRS.2010.2091673","article-title":"BandClust: An unsupervised band reduction method for hyperspectral remote sensing","volume":"8","author":"Cariou","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4158","DOI":"10.1109\/TGRS.2007.904951","article-title":"Clustering-based Hyperspectral Band selection using Information Measures","volume":"45","author":"Pla","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","article-title":"Hierarchical grouping to optimize an objective function","volume":"58","author":"Ward","year":"1963","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_35","unstructured":"Otero, I.R. (2015). Anatomy of the SIFT Method. [Ph.D. Thesis, \u00c9cole Normale Sup\u00e9rieure de Cachan-ENS Cachan]."},{"key":"ref_36","unstructured":"Gualtieri, A., Chettri, S.R., Cromp, R., and Johnson, L. (1999, January 8\u201311). Support Vector Machine Classifiers as Applied to AVIRIS Data. Proceedings of the 8th JPL Airborne Earth Science Workshop, Pasadena, California."},{"key":"ref_37","unstructured":"(2017, February 09). Hyperspectral Remote Sensing Scenes at the University of the Basque Country. Available online: http:\/\/www.ehu.eus\/ccwintco\/index.php?title=Hyperspectral_Remote_Sensing_Scenes."},{"key":"ref_38","unstructured":"(2017, February 09). AVIRIS Database, Available online: http:\/\/aviris.jpl.nasa.gov\/data\/index.html."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1156","DOI":"10.1109\/34.387491","article-title":"Symmetric phase-only matched filtering of Fourier-Mellin transforms for image registration and recognition","volume":"16","author":"Chen","year":"1994","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.1109\/TGRS.2011.2109389","article-title":"Automatic image registration through image segmentation and SIFT","volume":"49","author":"Goncalves","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1109\/TIP.2010.2090530","article-title":"A maximum likelihood approach to joint image registration and fusion","volume":"20","author":"Chen","year":"2011","journal-title":"IEEE Trans. Image Process."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zhang, H., Liu, X., Li, L., Rao, J., Li, Q., Chen, S., and Wang, T. (2012, January 29\u201331). Accurate multi-spectral image registration based on scale invariant feature. Proceedings of the 2012 2nd International Conference on Computer Science and Network Technology, Changchun, China.","DOI":"10.1109\/ICCSNT.2012.6526062"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"4328","DOI":"10.1109\/TGRS.2013.2281391","article-title":"A novel coarse-to-fine scheme for automatic image registration based on SIFT and mutual information","volume":"52","author":"Gong","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1109\/LGRS.2015.2412955","article-title":"Multispectral image alignment with nonlinear scale-invariant keypoint and enhanced local feature matrix","volume":"12","author":"Li","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1109\/LGRS.2014.2346398","article-title":"Joint image registration and fusion for panchromatic and multispectral images","volume":"12","author":"Zhang","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1109\/LGRS.2017.2783879","article-title":"PSOSAC: Particle Swarm Optimization Sample Consensus Algorithm for Remote Sensing Image Registration","volume":"15","author":"Wu","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/LGRS.2016.2600858","article-title":"Remote sensing image registration with modified sift and enhanced feature matching","volume":"14","author":"Ma","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1109\/TIP.2017.2776753","article-title":"Normalized total gradient: A new measure for multispectral image registration","volume":"27","author":"Chen","year":"2018","journal-title":"IEEE Trans. Image Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/5\/756\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:04:19Z","timestamp":1760195059000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/5\/756"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,15]]},"references-count":48,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2018,5]]}},"alternative-id":["rs10050756"],"URL":"https:\/\/doi.org\/10.3390\/rs10050756","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,15]]}}}