Building change detection in high-resolution remote sensing imagery remains challenging because of weak difference representation, background interference, and blurred boundaries. We propose DABF-Net, a Difference Aggregation and Boundary-Aware Fusion Network with a shared weight MobileNetV2 FPN encoder. The Difference...
Ming-Fa Li, Ying Xu, Long-Jun Zhou et al.· 2026 2nd International Confe...· 0 citations
High-resolution remote sensing change detection must distinguish genuine changes from pseudo-changes caused by misregistration, illumination, and texture variations. We propose STDFNet, a lightweight Symmetric Temporal Difference and Multi-Scale Context Gating Network. A shared MobileNetV2 extracts four-level bi-tempor...
Chong-Yi Huang, Jia-Shuo Li, Pan-Rong Chen et al.· 2026 2nd International Confe...· 0 citations
Remote sensing change detection requires accurate localization of changes in high-resolution bi-temporal imagery while maintaining a compact computational footprint. Existing lightweight methods often rely on simple absolute differencing and progressive upsampling, which may lead to pseudo-changes, blurred boundaries,...
Yu-Wei Han, Zhi-Yuan Su, Jia-Shuo Li et al.· 2026 2nd International Confe...· 0 citations
Accurate remote sensing change detection requires separating genuine land-cover changes from appearance variations while retaining small objects and boundaries. This paper presents a Lightweight Cross-Temporal Gating Network (LCTGNet), a compact Siamese convolutional model for bi-temporal images. A single shared Mobile...
Hao Xie, Chao-Xu Liang, Hong-Fan Lin et al.· 2026 2nd International Confe...· 0 citations
Remote sensing change detection (RSCD) aims to identify land-cover changes from bitemporal images and is widely used in urban monitoring, disaster assessment, and land-resource analysis. Lightweight RSCD models usually rely on compact backbones and efficient temporal interaction, but most of them update bitemporal feat...
Chaoyun Mai, Hai-Peng He, Hao Xie et al.· IEEE Journal of Selected Top...· 0 citations
A role-of-learning taxonomy is proposed that categorizes existing methods according to how learning participates in the planning pipeline, including direct policy learning, learning-augmented classical planning, hybrid planning, and training enhancement methods.
Zong-Yuan Shen, Shalabh Gupta, Shan-Cheng Zhao et al.· 1 citation
Integrated sensing and communication (ISAC) under a cell-free (CF) architecture enables seamless connectivity and sensing coverage by allowing multiple distributed access points (APs) to jointly serve users and detect targets, thereby mitigating cell-edge effects and enhancing spatial diversity. However, wideband CF-IS...
Xintong Zhou, Feng Ke, Xiu-Yin Zhang et al.· IEEE Transactions on Communi...· 0 citations
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