output
20202025
most citedUNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

1.3k citations

27 papers

cs.CV2025★ 1 cited

Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network

Shaocong Zhu, Zhiwei Li, Xinghua Li +1

Clouds significantly affect the quality of optical satellite images, which seriously limits their precise application. Recently, deep learning has been widely applied to cloud dete…

physics.ao-ph2025

A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval

Tian Xie, Menghui Jiang, Chao Zeng +4

Land surface temperature (LST) is a fundamental physical variable in land-atmosphere interactions, surface energy budgets, and climate processes. LST derived from medium- to high-r…

physics.ao-ph2025★ 2 cited

A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature

Tian Xie, Menghui Jiang, Huanfeng Shen +5

Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inve…

eess.SP2025★ 7 cited

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

Mingyuan Shao, Zhengqiu Fu, Dingzhao Li +6

Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR…

cs.CL2025

Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model

Jiali Chen, Xusen Hei, Yuqi Xue +3

Chinese literary classics hold significant cultural and educational value, offering deep insights into morality, history, and human nature. These works often include classical Chin…

cs.CV2024★ 4 cited

BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregation

Yonghui Tan, Xiaolong Li, Yishu Chen +1

The purpose of remote sensing image change detection (RSCD) is to detect differences between bi-temporal images taken at the same place. Deep learning has been extensively used to…