no code implementations • 19 Dec 2023 • Junjue Wang, Zhuo Zheng, Zihang Chen, Ailong Ma, Yanfei Zhong
Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoning.
1 code implementation • ICCV 2023 • Zhuo Zheng, Shiqi Tian, Ailong Ma, Liangpei Zhang, Yanfei Zhong
To solve these two problems, we present the change generator (Changen), a GAN-based GPCM, enabling controllable object change data generation, including customizable object property, and change event.
Ranked #1 on Change Detection on S2Looking
no code implementations • IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 • Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang
Generic semantic segmentation methods mainly focus on the scale variation in natural scenarios.
1 code implementation • 11 May 2022 • Chenyu Zheng, Junjue Wang, Ailong Ma, Yanfei Zhong
Land-cover classification has long been a hot and difficult challenge in remote sensing community.
4 code implementations • 17 Oct 2021 • Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, Yanfei Zhong
Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping.
Ranked #12 on Semantic Segmentation on LoveDA
2 code implementations • ICCV 2021 • Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
For high spatial resolution (HSR) remote sensing images, bitemporal supervised learning always dominates change detection using many pairwise labeled bitemporal images.
Ranked #13 on Change Detection on LEVIR-CD
Building change detection for remote sensing images Change detection for remote sensing images +1
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Ailong Ma, Junjue Wang, Yanfei Zhong, Zhuo Zheng
The small object semantic segmentation task is aimed at automatically extracting key objects from high-resolution remote sensing (HRS) imagery.
Ranked #13 on Semantic Segmentation on iSAID
2 code implementations • CVPR 2020 • Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma
However, general semantic segmentation methods mainly focus on scale variation in the natural scene, with inadequate consideration of the other two problems that usually happen in the large area earth observation scene.
Ranked #18 on Semantic Segmentation on iSAID
1 code implementation • 11 Nov 2020 • Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang
In this paper, a fast patch-free global learning (FPGA) framework is proposed for HSI classification.
Ranked #1 on Hyperspectral Image Classification on Pavia University (OA@200 metric)
2 code implementations • 6 Nov 2020 • Shiqi Tian, Ailong Ma, Zhuo Zheng, Yanfei Zhong
With the acceleration of the urban expansion, urban change detection (UCD), as a significant and effective approach, can provide the change information with respect to geospatial objects for dynamical urban analysis.