TUP.PC: Change Detection Techniques for Multispectral and Hyperspectral Images |
Session Type: Poster |
Time: Tuesday, July 28, 17:20 - 19:00 |
Location: Poster Area C |
Session Chair: Yuliya Tarabalka, INRIA |
TUP.PC.1: COMPARISON OF CHANGE DETECTION TECHNIQUES FOR THE YUCATAN PENINSULA USING LANDSAT IMAGE TIME SERIES |
Rene R. Colditz; National Commission for the Knowledge and Use of Biodiversity (CONABIO) |
Ricardo M. Llamas; National Commission for the Knowledge and Use of Biodiversity (CONABIO) |
Steffen Gebhardt; National Commission for the Knowledge and Use of Biodiversity (CONABIO) |
Thilo Wehrmann; National Commission for the Knowledge and Use of Biodiversity (CONABIO) |
Julian Equihua; National Commission for the Knowledge and Use of Biodiversity (CONABIO) |
TUP.PC.2: A NOVEL METHOD TO RECONSTRUCT NORMALIZED DIFFERENCE VEGETATION INDEX TIME SERIES BASED ON TEMPORAL-SPATIAL ITERATION ESTIMATION |
Lili Xu; University of Chinese Academy of Sciences |
Baolin Li; State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences |
Yecheng Yuan; State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences |
Tao Zhang; University of Chinese Academy of Sciences |
TUP.PC.3: HYPERSPECTRAL CHANGE DETECTION BY USING IR-MAD AND SYNTHETIC IMAGE FUSION |
Jaewan Choi; Chungbuk National University |
Biao Wang; Chungbuk National University |
Guhyeok Kim; Chungbuk National University |
Youkyung Han; Fondazione Bruno Kessler (FBK) / University of Trento |
TUP.PC.4: CHANGE DETECTION FOR HYPERSPECTRAL IMAGES BASED ON TENSOR ANALYSIS |
Zhao Chen; Fudan University |
Bin Wang; Fudan University |
Yubin Niu; Fudan University |
Wei Xia; China Transport Telecommunications & Information Center |
Jian Qiu Zhang; Fudan University |
Bo Hu; Fudan University |
TUP.PC.5: APPLICATION OF A SEMI-AUTOMATIC UNSUPERVISED CHANGE DETECTION TO (SEMI-) NATURAL GRASSLAND LOSS AT VERY HIGH RESOLUTION |
Cristina Tarantino; National Research Council |
Palma Blonda; National Research Council |
Maria Adamo; National Research Council |
TUP.PC.6: MULTI-TEMPORAL APPROACH TO ATMOSPHERIC EFFECTS COMPENSATION IN HYPERSPECTRAL IMAGE CLASSIFICATION |
Nicola Acito; Accademia Navale di Livorno - Italian Navy |
Marco Diani; University of Pisa |
Stefania Matteoli; University of Pisa |
Giovanni Corsini; University of Pisa |
TUP.PC.7: OBJECT-BASED FEATURE EXTRACTION AND SEMI-SUPERVISED CLASSIFICATION FOR URBAN CHANGE DETECTION USING HIGH-RESOLUTION REMOTE SENSING IMAGES |
Bin Hou; Beihang University |
Qingjie Liu; Beihang University |
Yunhong Wang; Beihang University |
TUP.PC.8: AUTOMATED CHANGE DETECTION IN SATELLITE IMAGES USING MACHINE LEARNING ALGORITHMS FOR DELHI, INDIA |
Abhishek Bhatt; Indian Institute of Technology Roorkee |
Sanjay Kumar Ghosh; Indian Institute of Technology Roorkee |
Anil Kumar; Indian institute of remote sensing, dehradun |
TUP.PC.9: DETECTING CHANGES IN HIGH RESOLUTION REMOTE SENSING IMAGES USING SUPERPIXELS |
Hui Ru; Wuhan University |
Pingping Huang; Inner Mongolia University of Technology |
Xun Sun; Wuhan University |
Yan Liu; Wuhan University |
TUP.PC.10: AUTOMATIC CHANGE DETECTION OF URBAN LAND-COVER BASED ON SVM CLASSIFICATION |
Wei Li; Peking University |
Miao Lu; Wuhan University |
Xiuwan Chen; Peking University |