Results 31 to 40 of about 556 (115)

A Lightweight Semantic Reasoning and Fusion Network for Open-Pit Mine Semantic Change Detection in High-Resolution Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
An open-pit mine semantic change detection (SCD) using high-resolution remote sensing images is a critical task for both mineral resource management and environmental protection.
Zilin Xie, Jinbao Jiang, Kangning Li, Xiaojun Qiao, Jinzhong Yang   +4 more
doaj   +1 more source

MSSM-SCDNet: A Multiclass Semantic Change Detection Network Suitable for Coastal Areas Based on Multiband Spatial-spectral Attention Mechanism

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Coastal change detection holds significant importance in the management of marine resources, coastal city change analysis, coastal land planning, and utilization.
Zhen Liu, Xue Sun, Jianchen Liu, Hao Liu, Yuhang Zhou, Fazhi Cheng, Yilong Zi, Zhen Zhang   +7 more
doaj   +1 more source

FFPNet: Fine-Grained Feature Perception Network for Semantic Change Detection on Bi-Temporal Remote Sensing Images

Remote Sensing
Semantic change detection (SCD) is a newly important topic in the field of remote sensing (RS) image interpretation since it provides semantic comprehension for bi-temporal RS images via predicting change regions and change types and has great ...
Fengwei Zhang, Kai Xia, Jianxin Yin, Susu Deng, Hailin Feng   +4 more
doaj   +1 more source

Deep-Learning-Based Semantic Change Detection for Urban Greenery and Comprehensive Urban Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Urban greenery is important for maintaining ecological balance and enhancing urban ecosystems. However, it is significantly degrading due to human activities and natural disasters, making it essential to monitor both urban greenery and the overall urban ...
Aisha Javed, Taeheon Kim, Changhui Lee, Youkyung Han   +3 more
doaj   +1 more source

CGMNet: Semantic Change Detection via a Change-Aware Guided Multi-Task Network

Remote Sensing
Change detection (CD) is the main task in the remote sensing field. Binary change detection (BCD), which only focuses on the region of change, cannot meet current needs.
Li Tan, Xiaolong Zuo, Xi Cheng
doaj   +1 more source

SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection

Remote Sensing
Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects.
Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu   +4 more
doaj   +1 more source

MLFA-Net: multi-level feature-aggregated network for semantic change detection in remote sensing images

International Journal of Digital Earth
The rapid advancement in Earth observation technologies has improved the acquisition of precise data on terrestrial changes. However, traditional binary change detection (BCD) fails to satisfy the complex demands of contemporary applications. In contrast,
Qing Ding, Zhenfeng Shao, Xiao Huang, Fengyan Wang, Mingchang Wang   +4 more
doaj   +1 more source

Mamba-FCS: Joint Spatio-Frequency Feature Fusion, Change-Guided Attention, and SeK Inspired Loss for Enhanced Semantic Change Detection in Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic Change Detection (SCD) in remote sensing imagery requires models that integrate extensive spatial context for broad geographic patterns, computational efficiency for large-scale datasets, and sensitivity to class-imbalanced land-cover ...
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath, Nichula Wasalathilaka   +6 more
doaj   +1 more source

A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In response to the existing challenges in semantic change detection (SCD) for remote sensing images, such as weak spatiotemporal correlation and insufficient utilization of local neighborhood information, this article proposes a SCD network based on ...
Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo   +3 more
doaj   +1 more source

Dual-Dimension Feature Interaction for Semantic Change Detection in Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing semantic change detection (SCD) involves extracting information about changes in land cover/land use (LCLU) within the same area at different times.
Biao Wang, Zhenghao Jiang, Weichun Ma, Xiao Xu, Peng Zhang, Yanlan Wu, Hui Yang   +6 more
doaj   +1 more source