Remote sensing change detection still faces several challenges in complex scenes, including boundary ambiguity, cross-temporal appearance interference, and large object-scale variations. To address these issues, this article proposes LTS-ProtoNet, a local–temporal–semantic prototype network driven by a learnable change...
This paper introduces a novel underwater salient object detection framework based on an information cross-fusion network that achieves superior performance compared to state-of-the-art approaches, highlighting its efficacy in multimodal feature integration and salient object detection.
Yan Mou, Zhao-Long Gao, Jinjiang Li· PLoS ONE· 0 citations
Remote sensing change detection (RSCD) aims to conduct difference analysis on RS images obtained in different time phases of the same area. It plays a critical role in applications, such as disaster monitoring and forest cover analysis, and has evolved rapidly in recent years. However, how to suppress false changes whi...
A cross-stage state refiner is introduced to progressively refine multilevel features by integrating the input features with the outputs of different stages through state-aware gated normalization, and a weighted feature pyramid decoder performs top-down fusion of the refined hierarchical features.
Zeyu Zhao, Zhao-Long Gao, Jun Feng· IEEE Journal of Selected Top...· 0 citations
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