Change detection in remote sensing images based on manifold regularized joint non-negative matrix factorization-Reference-Cited by-同舟云学术

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Change detection in remote sensing images based on manifold regularized joint non-negative matrix factorization

Published:2021-04-26 Issue:4 Volume:14 Page:1763-1776
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Yan Weidong,Liu Xinxin,Wen Jinhuan,Hong Jinfeng,Zhang Sa,Zhao Rui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-021-00620-7.pdf

Reference38 articles.

1. Belkin M, Niyogi P (2002) Laplacian eigenmaps and spectral techniques for embedding and clustering. Adv Neural Inf Proces Syst 6:585–591

2. Bezdek JC, Ehrlich R, Full W (1984) Fcm: the fuzzy c-means clustering algorithm. Comput Geosci 2:191–203

3. Bruzzone L, Cossu R (2003) An adaptive approach to reducing registration noise effects in unsupervised change detection. IEEE Trans Geosci Remote Sens 11:2455–2465

4. Bruzzone L, Serpico SB (1997) An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images. IEEE Trans Geosci Remote Sens 4:858–867

5. Bujor F, Trouve E, Valet L (2004) Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images. IEEE Trans Geosci Remote Sens 10:2073–2084

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