![]()
主要研究方向包括：
多时相遥感分析与应用（变化检测、时序监测等）
遥感影像处理算法（配准、拼接、融合、重建等）
稀疏表达
深度学习
- [1].
Liye Mei
, Andong Huang
, Zhaoyi Ye
, Yaxiaer Yalikun
, Ying Wang
, Chuan Xu
, Wei Yang
和 Xinghua Li.
STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
18.
2655-2667.
2025.
（SCI，中科院二区Top，IF=4.7，第二通讯）.
- [2].
Mengmeng Wang
, Liang Zhou
, Kaiyue Zhang
, Xinghua Li
, Ming Hao
和 Yuanxin Ye.
ESAM-CD: Fine-Tuned EfficientSAM Network with LoRA for Weakly Supervised Remote Sensing Image Change Detection.
IEEE Transactions on Geoscience and Remote Sensing.
62.
4708616.
2024.
（SCI，中科院一区，IF=7.5）.
- [3].
Dekun Lin
, Huanfeng Shen
, Xinghua Li
, Chao Zeng
, Tao Jiang
, Yongming Ma
和 Mingjie Xu.
Joint block adjustment and variational optimization for global and local radiometric normalization toward multiple remote sensing image mosaicking.
ISPRS Journal of Photogrammetry and Remote Sensing.
218.
187-203.
2024.
（SCI，中科院一区Top，IF=10.6）.
- [4].
Yinghong Jing
, Yao Li
, Xinghua Li
, Liupeng Lin
, Xiaojun She
, Menghui Jiang
和 Huanfeng Shen.
An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation.
IEEE Transactions on Geoscience and Remote Sensing.
62.
4210917.
2024.
（SCI，中科院一区，IF=7.5）.
- [5].
Xingjian Zhang
, Linglin Xie
, Shuang Li
, Fan Lei
, Li Cao
和 Xinghua Li.
Wuhan Dataset: A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images.
IEEE Geoscience and Remote Sensing Letters.
21.
1-5.
2024.
（SCI，中科院三区，IF=4.0）.
more +
