MOP.P11: Data Analytics and AI Techniques in Remote Sensing
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Location: Poster Area 11
Session Type: Poster
Session Co-Chairs: Subit Chakrabarti, Floodbase and Conrad Albrecht, German Aerospace Center
Session Managers: Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
Track: AI and Big Data

MOP.P11.1: HGR MAXIMAL CORRELATION AUGMENTED CROSS-MODAL REMOTE SENSING RETRIEVAL
Zhuoyue Wang, Xueqian Wang, Gang Li, Chengxi Li, Tsinghua University, China

MOP.P11.2: HYPERSPECTRAL DATA SCARCITY PROBLEM FROM A SUPER RESOLUTION PERSPECTIVE: DATA AUGMENTATION ANALYSIS AND SCHEME
Nour Aburaed, University of Strathclyde, United Kingdom; Mohammed Alkhatib, University of Dubai, United Arab Emirates; Stephen Marshall, Jaime Zabalza, University of Strathclyde, United Kingdom; Hussain Al Ahmad, University of Dubai, United Arab Emirates

MOP.P11.3: REFINING SEMANTIC GRANULARITY OF AERIAL IMAGE SEGMENTATION DATASETS BASED ON GROUND INFORMATION
Adrian Bauer, Jan-Christoph Krabbe, Mohaned Ibrahim, Anton Kummert, University of Wuppertal, Germany

MOP.P11.4: A BENCHMARK DATASET FOR BUILDING SEGMENTATION AND HEIGHT ESTIMATION FROM SINGLE SAR IMAGES
Yao Sun, Lichao Mou, Xiao Xiang Zhu, Technical University of Munich, Germany; Chenying Liu, Yi Wang, Conrad Albrecht, German Aerospace Center, Germany

MOP.P11.5: Neural network and data structure for uncertainty detection within gis
Enguerran Grandchamp, French West Indies University, Guadeloupe

MOP.P11.6: MULTI-SCALE GEO-LOCALIZATION BASED ON LOCAL SIMILARITY AREA DISTANCE MEASUREMENT METHOD
jianzheng zhou, yiming yan, Harbin Engineering University, China; guihua gu, Shanghai Institute of Satellite Engineering, China; nan su, Harbin Engineering University, China

MOP.P11.7: Cloud-based fine-grained parallel optimization on CPU-GPU heterogeneous hyperspectral image superpixel space-spectrum fusion classification algorithms
Hongfei Wang, Nanjing University of Science and Technology, China; Zhigang Tao, Nanjing Research institute of electronics engineering (NRIEE), China; Zebin Wu, Yi Zhang, Junlong Zhou, Nanjing University of Science and Technology, China

MOP.P11.8: A FAST AND ACCURATE METHOD FOR REMOTE SENSING IMAGE-TEXT RETRIEVAL OF BASED ON LARGE MODEL KNOWLEDGE DISTILLATION
Yu Liao, Rui Yang, Tao Xie, Hantong Xing, Dou Quan, Shuang Wang, Biao Hou, Xidian University, China

MOP.P11.9: SEISLABEL: AN AI-ASSISTED ANNOTATION TOOL FOR SEISMIC DATA LABELING
Tiash Ghosh, Ratul Kishore Saha, Mamata Jenamani, Aurobinda Routray, Indian Institute of Technology, Kharagpur, India, India; Sanjai Kumar Singh, Oil and Natural Gas Corporation, India, India; Arpita Mondal, Indian Institute of Technology, Kharagpur, India, India

MOP.P11.10: SPATIAL DATA MINING IN AERIAL OBJECT DETECTION DATASETS FOR FINDING CO-LOCATIONS AND ANOMALIES
Bishwajit Sharma, Pranay Suman, Anima Mishra Sharma, Arshad Jamal, Subrata Rakshit, Centre for Artificial Intelligence and Robotics, India

MOP.P11.11: BUILDING A NATIONAL SPATIO-TEMPORAL DATACUBE
Marian Neagul, Institute of Advanced Environmental Research ICAM, Romania; Ion Nedelcu, Romanian Space Agency ROSA, Romania; Alexandru Munteanu, West University of Timișoara, Romania

MOP.P11.12: GPU-BASED LINEAR PROGRAMMING: AN APPLICATION TO SEISMIC SPARSE LAYER INVERSION
Ratul Kishore Saha, Tiash Ghosh, Sanket Smarak Panda, Satyajit Swain, Mamata Jenamani, Aurobinda Routray, Indian Institute of Technology, Kharagpur, India, India; Sanjai Kumar Singh, Oil and Natural Gas Corporation, India, India; Arpita Mondal, Indian Institute of Technology, Kharagpur, India, India