no code implementations • 7 May 2024 • Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi
Foundation models have enormous potential in advancing Earth and climate sciences, however, current approaches may not be optimal as they focus on a few basic features of a desirable Earth and climate foundation model.
no code implementations • 17 Feb 2024 • Zhenghang Yuan, Zhitong Xiong, Lichao Mou, Xiao Xiang Zhu
In this context, we introduce a global-scale, high-quality image-text dataset for remote sensing, providing natural language descriptions for Sentinel-2 data to facilitate the understanding of satellite imagery for common users.
no code implementations • 14 Jun 2023 • Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
Localizing desired objects from remote sensing images is of great use in practical applications.
no code implementations • 1 Jun 2023 • Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
Based on the adversarial branch, we introduce two regularizers to constrain the training process against language bias.
2 code implementations • 9 May 2023 • Xiang Li, Congcong Wen, Yuan Hu, Zhenghang Yuan, Xiao Xiang Zhu
Existing AI-related research in remote sensing primarily focuses on visual understanding tasks while neglecting the semantic understanding of the objects and their relationships.
no code implementations • 7 Apr 2023 • Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
With the proposed augmented dataset, we are able to obtain more questions in addition to the original ones with the same meaning.
no code implementations • 6 May 2022 • Zhenghang Yuan, Lichao Mou, Qi Wang, Xiao Xiang Zhu
To be more specific, a language-guided SPCL method with a soft weighting strategy is explored in this work.
1 code implementation • 12 Dec 2021 • Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiaoxiang Zhu
In order to provide every user with flexible access to change information and help them better understand land-cover changes, we introduce a novel task: change detection-based visual question answering (CDVQA) on multi-temporal aerial images.
1 code implementation • 5 May 2019 • Qi. Wang, Senior Member, Zhenghang Yuan, Qian Du, Xuelong. Li, Fellow, IEEE
In order to better handle high dimension problem and explore abundance information, this paper presents a General End-to-end Two-dimensional CNN (GETNET) framework for hyperspectral image change detection (HSI-CD).