{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:57:37Z","timestamp":1743065857491,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":38,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662599570"},{"type":"electronic","value":"9783662599587"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-662-59958-7_1","type":"book-chapter","created":{"date-parts":[[2019,8,28]],"date-time":"2019-08-28T14:03:30Z","timestamp":1567001010000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning in Hybrid Environment for Information Identification with Remotely Sensed Image Data"],"prefix":"10.1007","author":[{"given":"Rik","family":"Das","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sourav","family":"De","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudeep","family":"Thepade","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,29]]},"reference":[{"issue":"9","key":"1_CR1","doi-asserted-by":"publisher","first-page":"2784","DOI":"10.1080\/01431161.2018.1433343","volume":"39","author":"AE Maxwell","year":"2018","unstructured":"Maxwell, A.E., Warner, T.A., Fang, F.: Implementation of machine-learning classification in remote sensing: an applied review. Int. J. Remote Sens. 39(9), 2784\u20132817 (2018)","journal-title":"Int. J. Remote Sens."},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.rse.2018.02.045","volume":"210","author":"Y Cai","year":"2018","unstructured":"Cai, Y., et al.: A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach. Remote Sens. Environ. 210, 35\u201347 (2018)","journal-title":"Remote Sens. Environ."},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-319-89923-7_5","volume-title":"Big Data for Remote Sensing: Visualization, Analysis and Interpretation","author":"J Yang","year":"2019","unstructured":"Yang, J., Wong, M.S., Ho, H.C.: Retrieval of urban surface temperature using remote sensing satellite imagery. In: Dey, N., Bhatt, C., Ashour, Amira S. (eds.) Big Data for Remote Sensing: Visualization, Analysis and Interpretation, pp. 129\u2013154. Springer, Cham (2019). \n                    https:\/\/doi.org\/10.1007\/978-3-319-89923-7_5"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/s00521-017-3099-0","volume":"31","author":"R Das","year":"2017","unstructured":"Das, R., Walia, E.: Partition selection with sparse autoencoders for content based image classification. Neural Comput. Appl. 31, 675\u2013690 (2017)","journal-title":"Neural Comput. Appl."},{"issue":"8","key":"1_CR5","doi-asserted-by":"publisher","first-page":"4544","DOI":"10.1109\/TGRS.2016.2543748","volume":"54","author":"W Zhao","year":"2016","unstructured":"Zhao, W., Du, S.: Spectral\u2013spatial feature extraction for hyperspectral image classification: a dimension reduction and deep learning approach. IEEE Trans. Geosci. Remote Sens. 54(8), 4544\u20134554 (2016)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"9","key":"1_CR6","doi-asserted-by":"publisher","first-page":"709","DOI":"10.3390\/rs8090709","volume":"8","author":"Y Li","year":"2016","unstructured":"Li, Y., Zhang, Y., Tao, C., Zhu, H.: Content-based high-resolution remote sensing image retrieval via unsupervised feature learning and collaborative affinity metric fusion. Remote Sens. 8(9), 709 (2016)","journal-title":"Remote Sens."},{"issue":"3","key":"1_CR7","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3390\/e18030077","volume":"18","author":"Y Zhang","year":"2016","unstructured":"Zhang, Y., Yang, X., Cattani, C., Rao, R.V., Wang, S., Phillips, P.: Tea category identification using a novel fractional Fourier entropy and Jaya algorithm. Entropy 18(3), 77 (2016)","journal-title":"Entropy"},{"issue":"2","key":"1_CR8","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.jfoodeng.2005.03.007","volume":"74","author":"U Gonzales-Barron","year":"2006","unstructured":"Gonzales-Barron, U., Butler, F.: A comparison of seven thresholding techniques with the k-means clustering algorithm for measurement of bread-crumb features by digital image analysis. J. Food Eng. 74(2), 268\u2013278 (2006)","journal-title":"J. Food Eng."},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.infrared.2015.11.002","volume":"74","author":"H Li","year":"2016","unstructured":"Li, H., Liu, L., Huang, W., Yue, C.: An improved fusion algorithm for infrared and visible images based on multi-scale transform. Infrared Phys. Technol. 74, 28\u201337 (2016)","journal-title":"Infrared Phys. Technol."},{"issue":"1","key":"1_CR10","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s40537-016-0046-3","volume":"3","author":"S Kumar","year":"2016","unstructured":"Kumar, S., Toshniwal, D.: Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). J. Big Data 3(1), 13 (2016)","journal-title":"J. Big Data"},{"issue":"7","key":"1_CR11","doi-asserted-by":"publisher","first-page":"3750","DOI":"10.1109\/TGRS.2016.2527044","volume":"54","author":"L Zhang","year":"2016","unstructured":"Zhang, L., Li, A., Zhang, Z., Yang, K.: Global and local saliency analysis for the extraction of residential areas in high-spatial-resolution remote sensing image. IEEE Trans. Geosci. Remote Sens. 54(7), 3750\u20133763 (2016)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"16","key":"1_CR12","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.ifacol.2016.10.073","volume":"49","author":"J Tang","year":"2016","unstructured":"Tang, J., Woods, M., Cossell, S., Liu, S., Whitty, M.: Non-productive vine canopy estimation through proximal and remote sensing. IFAC- Papers On-Line 49(16), 398\u2013403 (2016)","journal-title":"IFAC- Papers On-Line"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Valizadeh, M., Armanfard, N., Komeili, M., Kabir, E.: A novel hybrid algorithm for binarization of badly illuminated document images. In: 2009 14th International CSI Computer Conference, CSICC 2009, pp. 121\u2013126. IEEE, October 2009","DOI":"10.1109\/CSICC.2009.5349338"},{"issue":"5","key":"1_CR14","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1139\/x01-013","volume":"31","author":"J Pitk\u00e4nen","year":"2001","unstructured":"Pitk\u00e4nen, J.: Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods. Can. J. For. Res. 31(5), 832\u2013844 (2001)","journal-title":"Can. J. For. Res."},{"issue":"5","key":"1_CR15","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1080\/0143116031000139890","volume":"25","author":"H Liu","year":"2004","unstructured":"Liu, H., Jezek, K.C.: Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. Int. J. Remote Sens. 25(5), 937\u2013958 (2004)","journal-title":"Int. J. Remote Sens."},{"key":"1_CR16","unstructured":"Al-Amri, S.S., Kalyankar, N.V.: Image segmentation by using threshold techniques. arXiv preprint \n                    arXiv:1005.4020\n                    \n                   (2010)"},{"issue":"14","key":"1_CR17","doi-asserted-by":"publisher","first-page":"2345","DOI":"10.1016\/S0167-8655(03)00060-6","volume":"24","author":"PL Rosin","year":"2003","unstructured":"Rosin, P.L., Ioannidis, E.: Evaluation of global image thresholding for change detection. Pattern Recogn. Lett. 24(14), 2345\u20132356 (2003)","journal-title":"Pattern Recogn. Lett."},{"issue":"10","key":"1_CR18","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1109\/LGRS.2015.2452962","volume":"12","author":"A Manno-Kov\u00e1cs","year":"2015","unstructured":"Manno-Kov\u00e1cs, A., Ok, A.O.: Building detection from monocular VHR images by integrated urban area knowledge. IEEE Geosci. Remote Sens. Lett. 12(10), 2140\u20132144 (2015)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Liu, H., He, G.: Shape feature extraction of high resolution remote sensing image based on susan and moment invariant. In: Processing of the 2008 Congress on Image and Signal, CISP 2008, vol. 2, pp. 801\u2013807. IEEE, May 2008","DOI":"10.1109\/CISP.2008.244"},{"issue":"5","key":"1_CR20","doi-asserted-by":"publisher","first-page":"1307","DOI":"10.1007\/s10236-010-0319-x","volume":"60","author":"T Ezer","year":"2010","unstructured":"Ezer, T., Liu, H.: On the dynamics and morphology of extensive tidal mudflats: integrating remote sensing data with an inundation model of Cook Inlet, Alaska. Ocean Dyn. 60(5), 1307\u20131318 (2010)","journal-title":"Ocean Dyn."},{"key":"1_CR21","unstructured":"Neubert, M., Herold, H., Meinel, G.: Evaluation of remote sensing image segmentation quality\u2013further results and concepts. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 36(4\/C42) (2006)"},{"issue":"1","key":"1_CR22","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1109\/TGRS.2007.904953","volume":"46","author":"A Katartzis","year":"2008","unstructured":"Katartzis, A., Sahli, H.: A stochastic framework for the identification of building rooftops using a single remote sensing image. IEEE Trans. Geosci. Remote Sens. 46(1), 259\u2013271 (2008)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1_CR23","doi-asserted-by":"publisher","DOI":"10.1117\/3.899758","volume-title":"Hyperspectral Remote Sensing","author":"MT Eismann","year":"2012","unstructured":"Eismann, M.T.: Hyperspectral Remote Sensing. SPIE, Bellingham (2012)"},{"issue":"8","key":"1_CR24","doi-asserted-by":"publisher","first-page":"2185","DOI":"10.1007\/s12665-011-1440-y","volume":"66","author":"SI Elmahdy","year":"2012","unstructured":"Elmahdy, S.I., Mansor, S., Huat, B.B., Mahmod, A.R.: Structural geologic control with the limestone bedrock associated with piling problems using remote sensing and GIS: a modified geomorphological method. Environ. Earth Sci. 66(8), 2185\u20132195 (2012)","journal-title":"Environ. Earth Sci."},{"key":"1_CR25","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.cageo.2011.07.015","volume":"40","author":"MP Cipolletti","year":"2012","unstructured":"Cipolletti, M.P., Delrieux, C.A., Perillo, G.M., Piccolo, M.C.: Superresolution border segmentation and measurement in remote sensing images. Comput. Geosci. 40, 87\u201396 (2012)","journal-title":"Comput. Geosci."},{"issue":"5","key":"1_CR26","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.compenvurbsys.2012.01.003","volume":"36","author":"G Forestier","year":"2012","unstructured":"Forestier, G., Puissant, A., Wemmert, C., Gan\u00e7arski, P.: Knowledge-based region labeling for remote sensing image interpretation. Comput. Environ. Urban Syst. 36(5), 470\u2013480 (2012)","journal-title":"Comput. Environ. Urban Syst."},{"issue":"10","key":"1_CR27","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.14358\/PERS.75.10.1213","volume":"75","author":"G Hong","year":"2009","unstructured":"Hong, G., Zhang, Y., Mercer, B.: A wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images. Photogramm. Eng. Remote Sens. 75(10), 1213\u20131223 (2009)","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"1_CR28","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.isprsjprs.2013.11.011","volume":"88","author":"X Zhou","year":"2014","unstructured":"Zhou, X., Liu, J., Liu, S., Cao, L., Zhou, Q., Huang, H.: A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation. J. Photogramm. Remote Sens. 88, 16\u201327 (2014)","journal-title":"J. Photogramm. Remote Sens."},{"issue":"6","key":"1_CR29","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.isprsjprs.2006.11.002","volume":"61","author":"Y Ling","year":"2007","unstructured":"Ling, Y., Ehlers, M., Usery, E.L., Madden, M.: FFT-enhanced IHS transform method for fusing high-resolution satellite images. ISPRS J. Photogramm. Remote Sens. 61(6), 381\u2013392 (2007)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"1S","key":"1_CR30","first-page":"149","volume":"7","author":"L Zhang","year":"2013","unstructured":"Zhang, L., Li, Y., Lu, H., Yamawaki, A., Yang, S., Serikawa, S.: Maximum local energy method and sum modified Laplacian for remote image fusion based on beyond wavelet transform. Appl. Math. Inf. Sci. 7(1S), 149\u2013156 (2013)","journal-title":"Appl. Math. Inf. Sci."},{"issue":"2","key":"1_CR31","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1109\/TETC.2014.2384992","volume":"3","author":"Q Zhu","year":"2015","unstructured":"Zhu, Q., Shyu, M.L.: Sparse linear integration of content and context modalities for semantic concept retrieval. IEEE Trans. Emerg. Top. Comput. 3(2), 152\u2013160 (2015)","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"issue":"5","key":"1_CR32","doi-asserted-by":"publisher","first-page":"2212","DOI":"10.1109\/JSTARS.2013.2272773","volume":"6","author":"Y Byun","year":"2013","unstructured":"Byun, Y., Choi, J., Han, Y.: An area-based image fusion scheme for the integration of SAR and optical satellite imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 6(5), 2212\u20132220 (2013)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"1","key":"1_CR33","first-page":"119","volume":"42","author":"Y Su","year":"2013","unstructured":"Su, Y., Lee, C.H., Tu, T.M.: A multi-optional adjustable IHS-BT approach for high resolution optical and SAR image fusion. Chung Cheng Ling Hsueh Pao\/J. Chung Cheng Inst. Technol. 42(1), 119\u2013128 (2013)","journal-title":"Chung Cheng Ling Hsueh Pao\/J. Chung Cheng Inst. Technol."},{"issue":"3","key":"1_CR34","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1109\/LGRS.2012.2210857","volume":"10","author":"J Choi","year":"2013","unstructured":"Choi, J., Yeom, J., Chang, A., Byun, Y., Kim, Y.: Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality. IEEE Geosci. Remote Sens. Lett. 10(3), 490\u2013494 (2013)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"2","key":"1_CR35","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1080\/17538947.2013.869266","volume":"7","author":"C Pohl","year":"2014","unstructured":"Pohl, C., van Genderen, J.: Remote sensing image fusion: an update in the context of digital earth. Int. J. Digit. Earth 7(2), 158\u2013172 (2014)","journal-title":"Int. J. Digit. Earth"},{"key":"1_CR36","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.jag.2014.08.014","volume":"34","author":"K Rokni","year":"2015","unstructured":"Rokni, K., Ahmad, A., Solaimani, K., Hazini, S.: A new approach for surface water change detection: integration of pixel level image fusion and image classification techniques. Int. J. Appl. Earth Obs. Geoinf. 34, 226\u2013234 (2015)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"1_CR37","unstructured":"Feng, M.L., Tan, Y.P.: Adaptive binarization method for document image analysis. In: 2004 IEEE International Conference on Multimedia and Expo, ICME 2004, vol. 1, pp. 339\u2013342. IEEE, June 2004"},{"issue":"5","key":"1_CR38","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1016\/j.patcog.2003.09.009","volume":"37","author":"AC Jalba","year":"2004","unstructured":"Jalba, A.C., Wilkinson, M.H., Roerdink, J.B.: Morphological hat-transform scale spaces and their use in pattern classification. Pattern Recogn. 37(5), 901\u2013915 (2004)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Transactions on Computational Science XXXIV"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-59958-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T04:58:28Z","timestamp":1567054708000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-59958-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783662599570","9783662599587"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-59958-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}