An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images-Reference-Cited by-同舟云学术

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An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images

Published:2020 Issue: Volume:13 Page:5938-5953
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Pirrone Davide^ORCID,Bovolo Francesca^ORCID,Bruzzone Lorenzo^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/8994817/09206136.pdf?arnumber=9206136

Cited by 13 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. Integrating bi-temporal VHR optical and long-term SAR images for built-up area change detection;International Journal of Digital Earth;2024-02-20

2. 3D Change Detection Method for Exterior Wall of LNG Storage Tank Supported by Multi‐Source Spatial Data;Advanced Theory and Simulations;2024-01-12

3. Segmentation-based VHR SAR images built-up area change detection: a coarse-to-fine approach;Journal of Applied Remote Sensing;2024-01-11

4. Posthurricane damage assessment using satellite imagery and geolocation features;Risk Analysis;2023-10-27

5. Adaptive Speckle Filter for Multi-Temporal PolSAR Image with Multi-Dimensional Information Fusion;Remote Sensing;2023-07-23

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