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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-13.5

RANDOM FOREST FUSION CLASSIFICATION OF REMOTE SENSING POLSAR AND OPTICAL IMAGE BASED ON LASSO AND IM FACTOR

Fang Hong, Yingying Kong, Nanjing University of Aeronautics and Astronautics, China
Session:
Applications of Data Fusion
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 11:20-11:25 (UTC)
Thu, 15 Jul, 13:20-13:25 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:20-19:25 China Standard Time (UTC +8)
Thu, 15 Jul, 07:20-07:25 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Daniel Cerra, German Aerospace Center (DLR) and Pedram Ghamisi, HZDR-HIF
Session Manager:
Khatereh Meshkini
Presentation
Discussion
Resources
Session TH2.MM-13
TH2.MM-13.1: MONITORING DAILY NIGHTTIME LIGHT BASED ON MODIS AND DEEP LEARNING: A BELGIUM CASE STUDY
Lixian Zhang, Zhehao Ren, Runmin Dong, Bing Xu, Haohuan Fu, Tsinghua University, China
TH2.MM-13.2: INVERSION OF WATER QUALITY PARAMETER BOD5 BASED ON HYPERSPECTRAL REMOTELY SENSED DATA IN QINGHAI LAKE
Lingjuan Cao, Dianjun Zhang, Quan Guo, Jie Zhan, Tianjin University, China
TH2.MM-13.3: A COOPERATIVE CLASSIFICATION METHOD FOR HYPERSPECTRAL IMAGES BASED ON ADAPTIVE CORRECTION
Yue Tang, Peng Fu, Quansen Sun, Nanjing University of Science and Technology, China
TH2.MM-13.4: INFORMATION FUSION OF GF-1 AND GF-4 SATELLITE IMAGERY FOR SHIP SURVEILLANCE
Yong Liu, Pengyu Guo, Lu Cao, Mingjiang Ji, National Innovation Institute of Defense Technology, Academy of Military Sciences, China; Libo Yao, Institute of Information Fusion, Naval Aviation University, China
TH2.MM-13.5: RANDOM FOREST FUSION CLASSIFICATION OF REMOTE SENSING POLSAR AND OPTICAL IMAGE BASED ON LASSO AND IM FACTOR
Fang Hong, Yingying Kong, Nanjing University of Aeronautics and Astronautics, China
TH2.MM-13.6: COMPARISON OF HIGH-RESOLUTION AIRBORNE MWIR DATA WITH SAR AND AIS FOR SHIP DETECTION
Maximilian Rodger, Raffaella Guida, University of Surrey, United Kingdom; Tobias Reinicke, Simon Tucker, Anthony Baker, Satellite Vu, United Kingdom
TH2.MM-13.7: APPLICATION OF CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS FOR GENERATION OF MICRO-DOPPLER SIGNATURES OF DIFFERENT ASPECT ANGLES
Ibrahim Alnujaim, Youngwook Kim, California State University, Fresno, United States
TH2.MM-13.8: MULTIPLE FEATURE FUSION FOR FINE CLASSIFICATION OF CROPS IN UAV HYPERSPECTRAL IMAGERY
Yajing Liang, Lifei Wei, Qikai Lu, Hubei University, China
TH2.MM-13.9: LIDAR-AIDED TOTAL VARIATION REGULARIZED NONNEGATIVE TENSOR FACTORIZATION FOR HYPERSPECTRAL UNMIXING
Atakan Kaya, Kubİlay Ataş, Sevcan Kahraman, Istanbul Gelişim University, Turkey

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