{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T01:42:03Z","timestamp":1784943723858,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,11,3]],"date-time":"2016-11-03T00:00:00Z","timestamp":1478131200000},"content-version":"vor","delay-in-days":366,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NASA Carbon Monitoring System","award":["NNH14ZDA001-N-CMS"],"award-info":[{"award-number":["NNH14ZDA001-N-CMS"]}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF1010495"],"award-info":[{"award-number":["W911NF1010495"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,11,3]]},"DOI":"10.1145\/2820783.2820816","type":"proceedings-article","created":{"date-parts":[[2016,2,5]],"date-time":"2016-02-05T09:54:02Z","timestamp":1454666042000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":231,"title":["DeepSat"],"prefix":"10.1145","author":[{"given":"Saikat","family":"Basu","sequence":"first","affiliation":[{"name":"Louisiana State University, Baton Rouge, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sangram","family":"Ganguly","sequence":"additional","affiliation":[{"name":"Bay Area Environmental Research Institute\/NASA, Ames Research Center, Moffett Field, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Supratik","family":"Mukhopadhyay","sequence":"additional","affiliation":[{"name":"Louisiana State University, Baton Rouge, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"DiBiano","sequence":"additional","affiliation":[{"name":"Louisiana State University, Baton Rouge, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manohar","family":"Karki","sequence":"additional","affiliation":[{"name":"Louisiana State University, Baton Rouge, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramakrishna","family":"Nemani","sequence":"additional","affiliation":[{"name":"NASA, Ames Research Center, Moffett Field, California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"issue":"10","key":"e_1_3_2_1_1_1","first-page":"5690","article-title":"A semiautomated probabilistic framework for tree-cover delineation from 1-m naip imagery using a high-performance computing architecture. Geoscience and Remote Sensing","volume":"53","author":"Basu S.","year":"2015","unstructured":"S. Basu, S. Ganguly, R. Nemani, S. Mukhopadhyay, G. Zhang, C. Milesi, A. Michaelis, P. Votava, R. Dubayah, L. Duncanson, B. Cook, Y. Yu, S. Saatchi, R. DiBiano, M. Karki, E. Boyda, U. Kumar, and S. Li. A semiautomated probabilistic framework for tree-cover delineation from 1-m naip imagery using a high-performance computing architecture. Geoscience and Remote Sensing, IEEE Transactions on, 53(10):5690--5708, Oct 2015.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the European Symposium on Artificial Neural Networks, ESANN","author":"Basu S.","year":"2015","unstructured":"S. Basu, M. Karki, S. Ganguly, R. DiBiano, S. Mukhopadhyay, and R. Nemani. Learning sparse feature representations using probabilistic quadtrees and deep belief nets. In Proceedings of the European Symposium on Artificial Neural Networks, ESANN, 2015."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/525960"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104338"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_7_1","volume-title":"On contrastive divergence learning","author":"Carreira-Perpinan M. A.","year":"2005","unstructured":"M. A. Carreira-Perpinan and G. E. Hinton. On contrastive divergence learning. 2005."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.02.013"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2354694"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5589\/m02-004"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2009.08.016"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"e_1_3_2_1_14_1","article-title":"Textural features for image classification. Systems, Man and Cybernetics","author":"Haralick R. M.","year":"1973","unstructured":"R. M. Haralick, K. Shanmugam, and I. Dinstein. Textural features for image classification. Systems, Man and Cybernetics, IEEE Transactions on, SMC-3(6):610--621, Nov. 1973.","journal-title":"IEEE Transactions on, SMC-3(6):610--621"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"e_1_3_2_1_17_1","volume-title":"Nov.","author":"Huete A.","year":"2002","unstructured":"A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1--2):195--213, Nov. 2002."},{"issue":"2","key":"e_1_3_2_1_18_1","first-page":"261","article-title":"Atmospherically resistant vegetation index (arvi) for eos-modis. Geoscience and Remote Sensing","volume":"30","author":"Kaufman Y.","year":"1992","unstructured":"Y. Kaufman and D. Tanre. Atmospherically resistant vegetation index (arvi) for eos-modis. Geoscience and Remote Sensing, IEEE Transactions on, 30(2):261--270, Mar 1992.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/1795555"},{"key":"e_1_3_2_1_20_1","volume-title":"Technical report","author":"Krizhevsky A.","year":"2009","unstructured":"A. Krizhevsky. Learning multiple layers of features from tiny images. Technical report, 2009."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"e_1_3_2_1_22_1","volume-title":"ICML","author":"Le Q. V.","year":"2012","unstructured":"Q. V. Le, M. Ranzato, R. Monga, M. Devin, G. Corrado, K. Chen, J. Dean, and A. Y. Ng. Building high-level features using large scale unsupervised learning. In ICML, 2012."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/2976456.2976557"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553453"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888212.1888230"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2109382"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2014.8077647"},{"key":"e_1_3_2_1_29_1","first-page":"309","volume-title":"Monitoring vegetation systems in the great plains with ERTS","author":"Rouse J. W.","year":"1974","unstructured":"J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering. Monitoring vegetation systems in the great plains with ERTS. NASA Goddard Space Flight Center 3d ERTS-1 Symposium, pages 309--317, 1974."},{"key":"e_1_3_2_1_30_1","first-page":"1089","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11","author":"Saxe A.","year":"2011","unstructured":"A. Saxe, P. W. Koh, Z. Chen, M. Bhand, B. Suresh, and A. Ng. On random weights and unsupervised feature learning. In L. Getoor and T. Scheffer, editors, Proceedings of the 28th International Conference on Machine Learning (ICML-11), ICML '11, pages 1089--1096, New York, NY, USA, June 2011. ACM."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1886436.1886447"},{"key":"e_1_3_2_1_32_1","article-title":"Texture analysis of sar sea ice imagery using gray level co-occurrence matrices. Geoscience and Remote Sensing","author":"Soh L. K.","year":"1999","unstructured":"L. K. Soh and C. Tsatsoulis. Texture analysis of sar sea ice imagery using gray level co-occurrence matrices. Geoscience and Remote Sensing, IEEE Transactions on, pages 780--795, 1999.","journal-title":"IEEE Transactions on, pages 780--795"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"e_1_3_2_1_34_1","first-page":"389","article-title":"An evaluation of feature learning methods for high resolution image classification. ISPRS Annals of Photogrammetry","volume":"3","author":"Tokarczyk P.","year":"2012","unstructured":"P. Tokarczyk, J. Montoya, and K. Schindler. An evaluation of feature learning methods for high resolution image classification. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I-3:389--394, 2012.","journal-title":"Remote Sensing and Spatial Information Sciences"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(79)90013-0"},{"key":"e_1_3_2_1_36_1","first-page":"2506","volume-title":"Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European","author":"Vaduva C.","year":"2012","unstructured":"C. Vaduva, I. Gavat, and M. Datcu. Deep learning in very high resolution remote sensing image information mining communication concept. In Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pages 2506--2510, Aug 2012."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1953039"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2012.12.001"},{"key":"e_1_3_2_1_39_1","unstructured":"WWW1. MNIST. http:\/\/yann.lecun.com\/exdb\/mnist\/."},{"key":"e_1_3_2_1_40_1","unstructured":"WWW2. NAIP. http:\/\/www.fsa.usda.gov\/Internet\/FSA_File\/naip_2009_info_final.pdf."},{"key":"e_1_3_2_1_41_1","unstructured":"WWW3. MODIS. http:\/\/vip.arizona.edu\/documents\/MODIS\/MODIS_VI_UsersGuide_01_2012.pdf."},{"key":"e_1_3_2_1_42_1","unstructured":"WWW4. DATASETS. http:\/\/csc.lsu.edu\/~saikat\/deepsat\/."},{"key":"e_1_3_2_1_43_1","unstructured":"WWW5. NLCD. http:\/\/www.gsd.harvard.edu\/gis\/manual\/earthshelter\/National%20Land-Cover%20Dataset%20%28NLCD%29%20Metadata%20%20US%20EPA.htm."}],"event":{"name":"SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","location":"Seattle Washington","acronym":"SIGSPATIAL'15","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information","SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2820783.2820816","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2820783.2820816","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2820783.2820816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:36:28Z","timestamp":1763458588000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2820783.2820816"}},"subtitle":["a learning framework for satellite imagery"],"short-title":[],"issued":{"date-parts":[[2015,11,3]]},"references-count":43,"alternative-id":["10.1145\/2820783.2820816","10.1145\/2820783"],"URL":"https:\/\/doi.org\/10.1145\/2820783.2820816","relation":{},"subject":[],"published":{"date-parts":[[2015,11,3]]},"assertion":[{"value":"2015-11-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}