WE1.M2.4
A NEW HIGH-RESOLUTION DATASET OF MULTISPECTRAL REMOTE SENSING IMAGES FOR AERIAL TARGET DETECTION
Wenyi Zhang, Xiaoyi Yin, Yuxin Hu, Xiangyu Dai, Qingwei Chu, Guangzuo Li, The Aerospace Information Research Institute under the Chinese Academy of Sciences, China
Session:
WE1.M2: Datasets and Evaluation Protocols for Benchmarking Remote Sensing Algorithms II Oral
Track:
Community-Contributed Sessions
Location:
Mezzanine: Room M2
Presentation Time:
Wednesday, 6 August, 08:45 - 09:00
Session Co-Chairs:
Francescopaolo Sica, University of the Bundeswehr Munich and Claudio Persello, University of Twente
Session WE1.M2
WE1.M2.1: LUOJIA-VG: A NEW DATASET FOR COMPLEX SCENE UNDERSTANDING IN REMOTE SENSING VISUAL REASONING
Ke She, Mi Zhang, Qingyu Liu, Yuanxin Zhao, Bingnan Yang, Wuhan University, China
WE1.M2.2: RS-SHIP-VLD: REMOTE SENSING SHIP VISION LANGUAGE DATASET
Tingyu Zhang, Haitao Lang, Ke Ma, Beijing University of Chemical Technology, China
WE1.M2.3: GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
Muhammad Sohail Danish, Muhammad Akhtar Munir, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; Syed Roshaan Ali Shah, University College London, United Arab Emirates; Kartik Kuckreja, Fahad Shahbaz Khan, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; Paolo Fraccaro, IBM Research, United Kingdom; Alexandre Lacoste, ServiceNow Research, Canada; Salman Khan, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
WE1.M2.4: A NEW HIGH-RESOLUTION DATASET OF MULTISPECTRAL REMOTE SENSING IMAGES FOR AERIAL TARGET DETECTION
Wenyi Zhang, Xiaoyi Yin, Yuxin Hu, Xiangyu Dai, Qingwei Chu, Guangzuo Li, The Aerospace Information Research Institute under the Chinese Academy of Sciences, China
WE1.M2.5: NOT EVERY TREE IS A FOREST: BENCHMARKING FOREST TYPES FROM SATELLITE REMOTE SENSING
Yuchang Jiang, University of Zurich, Switzerland; Maxim Neumann, Google DeepMind, Switzerland
Resources