TH3.R2.6

ENHANCING CROP TYPE CLASSIFICATION FROM MULTI-FREQUENCY DUAL-POL SAR DATA BY PROBABILISTIC FUSION OF GAUSSIAN PROCESSES

Swarnendu Sekhar Ghosh, Indian Institute of Technology Bombay, India; Dipankar Mandal, Kansas State University, United States; Sandeep Kumar, Indian Institute of Technology Bombay, India; Narayanarao Bhogapurapu, University of Massachusetts, United States; Biplab Banerjee, Indian Institute of Technology Bombay, India; Paul Siqueira, University of Massachusetts, United States; Avik Bhattacharya, Indian Institute of Technology Bombay, United States
Session:
TH3.R2: Classification and Clustering III Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Thu, 11 Jul, 15:50 - 16:04
Session Chair:
Begüm Demir, Technische Universität Berlin
Presentation
Discussion
Resources
No resources available.
Session TH3.R2
TH3.R2.1: ADAPTIVE REGION SAMPLING NETWORK FOR POLARIMETRIC SAR IMAGE CLASSIFICATION
Junfei Shi, Shanshan Ji, Haiyan Jin, Haonan Su, Zhiyong Lv, Xi’an University of Technology, China
TH3.R2.2: MULTI-GRANULARITY FEATURE FUSION FOR POINT CLOUD SEMANTIC SEGMENTATION UNDER URBAN SCENES
Huchen Li, Nanjing University of Information Science and Technology, China; Lingfei Ma, Central University of Finance and Economics, China; Haiyan Guan, Nannan Qin, Yufu Zang, Nanjing University of Information Science and Technology, China; Lanying Wang, University of Waterloo, Canada
TH3.R2.3: JOINT CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA BASED ON HETEROGENEOUS ATTENTION FEATURE FUSION NETWORK
Zhaoyang Wang, Qingyan Wang, Harbin University of Science and Technology, China; Junping Zhang, Harbin Institute of Technology, China; Xintao Liang, Harbin University of Science and Technology, China
TH3.R2.4: CROSS-DOMAIN FEW-SHOT LEARNING WITH SPECTRAL-SPATIAL SPLIT-ATTENTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Peng Luo, Qingyan Wang, Harbin University of Science and Technology, China; Junping Zhang, Harbin Institute of Technology, China; Shouqiang Kang, Harbin University of Science and Technology, China
TH3.R2.5: ESTIMATING PHYSICAL INFORMATION CONSISTENCY OF CHANNEL DATA AUGMENTATION FOR REMOTE SENSING IMAGES
Tom Burgert, Begüm Demir, Technische Universität Berlin, Germany
TH3.R2.6: ENHANCING CROP TYPE CLASSIFICATION FROM MULTI-FREQUENCY DUAL-POL SAR DATA BY PROBABILISTIC FUSION OF GAUSSIAN PROCESSES
Swarnendu Sekhar Ghosh, Indian Institute of Technology Bombay, India; Dipankar Mandal, Kansas State University, United States; Sandeep Kumar, Indian Institute of Technology Bombay, India; Narayanarao Bhogapurapu, University of Massachusetts, United States; Biplab Banerjee, Indian Institute of Technology Bombay, India; Paul Siqueira, University of Massachusetts, United States; Avik Bhattacharya, Indian Institute of Technology Bombay, United States
TH3.R2.7: ROBUST LEARNING TO NOISY LABELS FOR SEMANTIC SEGMENTATION OF MANGROVE COMMUNITIES IN REMOTE SENSING IMAGERY
Mitsuyoshi Otsu, Jun Zhou, Griffith University, Australia
Resources
No resources available.