TU3.R1.2: MSMANET: ULTRA-LIGHTWEIGHT SAR AIRCRAFT DETECTION NETWORK BASED ON MULTI-SCALE MATCHING ATTENTION
Hao Chang, Shibo Chang, Jialin Guan, Chunyan Zhang, Xiongjun Fu, Kunyi Guo, Jian Dong, Beijing insititute of technology, China
TU3.R1.3: CLIP-Guided Source-Free Object Detection in Aerial Images
Nanqing Liu, School of Information Science and Technology, Southwest Jiaotong University, China; Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, I2R, A-STAR, Singapore 138632, Singapore; Heng-Chao Li, School of Information Science and Technology, Southwest Jiaotong University,, China
TU3.R1.4: 3D SHIP PARAMETER ESTIMATES IN SAR IMAGERY
Kristian Aalling Soerensen, Constantin Günzel, Peder Heiselberg, Henning Heiselberg, Hasse Pedersen, Technical University of Denmark, Denmark
TU3.R1.5: HOW TO EFFICIENTLY ADAPT FOUNDATION MODELS TO REMOTE SENSING FOR OBJECT DETECTION?
Clément Barbier, Baptiste Abeloos, Stéphane Herbin, Office national d'études et de recherches aérospatiales (ONERA), France
TU3.R1.6: URBAN STREET TREE RECOGNITION BASED ON DEEP LEARNING AND MULTI-SOURCE DATA
Xinjie Huo, Hanxi Wang, Sirui Chen, Junyan Ye, Weijia Li, Sun Yat-sen University, China
TU3.R1.7: BUILDING EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES USING IMPROVED HRNET METHOD
Jiaqi Bai, Chen Jia, ShengWen Yu, Lin Sun, Shandong University of Science and Technology, China; Ling Zhang, Shandong Drug and Food Vocational College, China; Zexiu Chang, Satellite Application Center,Shandong Provincial Institute of Land Surveying and Mapping, China; AiXia Hou, Binzhou Polytechnic, China