RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset
for Natural Disaster Damage Assessment

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment

24 February 2022

Maryam Rahnemoonfar

Tashnim Chowdhury

Robin Murphy

Papers citing "RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment"

6 / 6 papers shown

Title
LightFormer: A lightweight and efficient decoder for remote sensing image segmentation Sihang Chen Lijun Yun Zichen Liu JianFeng Zhu Jianfei Chen Hui Wang Yueping Nie 29 0 0 15 Apr 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Hongruixuan Chen Jian Song Olivier Dietrich Clifford Broni-bediako Weihao Xuan ... Yimin Wei J. Xia Cuiling Lan Konrad Schindler Naoto Yokoya 98 5 0 10 Jan 2025
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning Nethmi S. Hewawiththi M. Mahesha Viduranga Vanodhya G. Warnasooriya Tharindu Fernando Himal A. Suraweera Sridha Sridharan Clinton Fookes 87 0 0 14 Dec 2024
Multi-step feature fusion for natural disaster damage assessment on satellite images M. Żarski J. Miszczak 30 1 0 29 Oct 2024
RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images with Autonomous Agents Zhuoran Liu Danpei Zhao Bo Yuan 30 1 0 17 Oct 2024
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking Md. Mahfuzur Rahman Sunzida Siddique Marufa Kamal Rakib Hossain Rifat Kishor Datta Gupta AI4TS 42 0 0 05 Sep 2024