With the rapid advancement of synthetic aperture radar (SAR) technology and the explosive growth of on-orbit data, conventional processing frameworks are increasingly constrained by high resource consumption and substantial latency, rendering them inadequate for real-time maritime ship detection on resource-limited pla...
Yue-Ming Sun, Wei Yang, H. Zeng et al.· IEEE Transactions on Geoscie...· 0 citations
Fire and smoke exhibit different spatial characteristics: fire regions often contain localized high responses, contour variations, and irregular boundaries, whereas smoke usually presents weak texture, blurred boundaries, and broader spatial extent. Lightweight detectors commonly apply the same kernel-size and dilation...
Pan-Rong Chen, Hai-Peng He, Chao-Yun Mai et al.· 2026 2nd International Confe...· 0 citations
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
