1 code implementation • 3 Apr 2024 • Sijie Zhao, Hao Chen, Xueliang Zhang, Pengfeng Xiao, Lei Bai, Wanli Ouyang
RSM is specifically designed to capture the global context of remote sensing images with linear complexity, facilitating the effective processing of large VHR images.
Ranked #1 on Road Segmentation on Massachusetts Roads Dataset (F1 metric)
Building change detection for remote sensing images Change Detection +1
1 code implementation • 4 Feb 2024 • Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, Pengfeng Xiao
Additionally, we introduce LHRS-Bench, a benchmark for thoroughly evaluating MLLMs' abilities in RS image understanding.
1 code implementation • 19 Nov 2023 • Sijie Zhao, Xueliang Zhang, Pengfeng Xiao, Guangjun He
We build a binary change detection model based on this strategy, and then validate and compare it with 18 state-of-the-art change detection methods on six datasets in three scenarios, including intraclass change detection datasets (CDD, SYSU), single-view building change detection datasets (WHU, LEVIR-CD, LEVIR-CD+) and a multiview building change detection dataset (NJDS).
Ranked #2 on Change Detection on WHU Building Dataset
1 code implementation • 19 Apr 2023 • Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Feng Gu
We argue that this learning strategy is suboptimal in the realm of RS, since the required representations for different RS downstream tasks are often varied and complex.