High-Resolution Remote Sensing Change Detection Based on Inverse Correction and Density Peak Clustering-Reference-Cited by-同舟云学术

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High-Resolution Remote Sensing Change Detection Based on Inverse Correction and Density Peak Clustering

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Li Zhi¹,Peng Zhenming¹,Cao Siying²,Luo Lunhai¹

Affiliation:

1. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611732

2. University of Electronic Science and Technology of China,Laboratory of Imaging Detection and Intelligent Perception,Chengdu,China,611732

Funder

Natural Science Foundation of Sichuan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282762.pdf?arnumber=10282762

Reference15 articles.

1. Unsupervised change detection using fuzzyc-means and MRF from remotely sensed images

2. Automatic analysis of the difference image for unsupervised change detection

3. A Neighborhood-Based Ratio Approach for Change Detection in SAR Images

4. Change detection in SAR images based on the logarithmic transformation and total variation denoising method

5. Object-Based Sorted-Histogram Similarity Measurement for Detecting Land Cover Change With VHR Remote Sensing Images

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