Change detection for high-resolution remote sensing imagery based on multi-scale segmentation and fusion
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8118204/8126808/08127353.pdf?arnumber=8127353
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MsFNet: Multi-Scale Fusion Network Based on Dynamic Spectral Features for Multi-Temporal Hyperspectral Image Change Detection;Remote Sensing;2024-08-18
2. CMLFormer: CNN and Multiscale Local-Context Transformer Network for Remote Sensing Images Semantic Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images;Remote Sensing;2023-06-01
4. Change Detection Mapping Using Landsat Synthetic Aperture Radar Images;2023 International Conference on Communication, Circuits, and Systems (IC3S);2023-05-26
5. Multitemporal Images Change Detection Based on AMMF and Spectral Constraint Strategy;IEEE Transactions on Geoscience and Remote Sensing;2021-04
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