Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection-Reference-Cited by-同舟云学术

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Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection

Published:2011-09 Issue:5 Volume:4 Page:874-885
ISSN:1875-6891
Container-title:International Journal of Computational Intelligence Systems
language:en
Short-container-title:International Journal of Computational Intelligence Systems

Author:

Guo-Rong Cai,Shao-Zi Li,Yun-Dong Wu,Shui-Li Chen,Song-Zhi Su

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,General Computer Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/18756891.2011.9727838

Reference32 articles.

1. Remote Sensing Image Enhancement Based on Orthogonal Wavelet Transformation Analysis and Pseudo-color Processing

2. A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks

3. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

4. Change detection techniques for ERS-1 SAR data

5. Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features

Cited by 3 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. New Analysis Method Application in Metallographic Images through the Construction of Mosaics Via Speeded Up Robust Features and Scale Invariant Feature Transform;Materials;2015-06-25

2. VGI and Reference Data Correspondence Based on Location-Orientation Rotary Descriptor and Segment Matching;Transactions in GIS;2014-09-22

3. Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration;Signal Processing;2013-11

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