TH2.R9.5
Investigation of evolutionary fuzzy MPCM machine learning and probabilistic SVM models for Butea monosperma species mapping
Payel Mani, Dipanwita Dutta, Vidyasagar University, India; Anil Kumar, Indian Institute of Remote Sensing, Indian Space Research Organization, India
Session:
TH2.R9: Application-Oriented Remote Sensing Image Analysis Tasks (3/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 12:00 - 12:15
Presentation
Discussion
Resources
No resources available.
Session TH2.R9
TH2.R9.1: A DATA DRIVEN 1&2-opt OPTIMIZATION FOR ENDMEMBER MERGING IN HETEROGENEOUS GRASSLANDS
Rezwana Sultana, Manzur Murshed, Tsz-Kwan Lee, Deakin University, Australia; Shyh Wei Teng, Federation University, Australia; Kathryn Sheffield, Department of Energy, Environment and Climate Action, Australia; Singarayer Florentine, Federation University, Australia
TH2.R9.2: CCMAMBAMATCH:CORRELATION-CONDITIONED MAMBA FOR COARSE-TO-FINE DEEP FEATURE MATCHING
Shuya Yang, Wenbo Xu, Licheng Sun, Zheng He, Qiang Ma, University of Electronic Science and Technology of China, China
TH2.R9.3: RIVER PLASTIC HOTSPOT DETECTION FROM SPACE
Ámbar Pérez-García, University of Las Palmas de Gran Canaria, Spain; Graciela Amanda, Wageningen University, Netherlands; José F. López, University of Las Palmas de Gran Canaria, Spain; Marc Russwurm, Tim H.M. van Emmerik, Wageningen University, Netherlands
TH2.R9.4: HIERARCHICAL PHENOLOGY-AWARE MULTIMODAL LEARNING FOR GLOBAL TREE SPECIES CLASSIFICATION
Siqi Wei, Shuyu Zhang, Zijun Lv, Zhuo Wang, Meng Xu, Sen Jia, Shenzhen University, China
TH2.R9.5: Investigation of evolutionary fuzzy MPCM machine learning and probabilistic SVM models for Butea monosperma species mapping
Payel Mani, Dipanwita Dutta, Vidyasagar University, India; Anil Kumar, Indian Institute of Remote Sensing, Indian Space Research Organization, India
Contacts