Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA-Reference-Cited by-同舟云学术

Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA

Published:2012-09-10 Issue:1 Volume:34 Page:45-59
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Cheng Gong¹,Guo Lei¹,Zhao Tianyun¹,Han Junwei¹,Li Huihui¹,Fang Jun¹

Affiliation:

1. a Department of Control and Information, School of Automation , Northwestern Polytechnical University , Xi'an , 710072 , PR China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2012.705443

Reference46 articles.

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2. Bosch , A. , Zisserman , A. and Munoz , X. Scene Classification via pLSA . Proceedings of the Ninth European Conference on Computer Vision (ECCV 2006) . May 7–13 , Graz , Austria. pp. 517 – 30 . New York : Springer .

3. Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data

4. Chang , L. W. , Hsieh , P. F. and Lin , C. W. Landslide Identification Based on Formosat-2 Multispectral Imagery by Wavelet-Based Texture Feature Extraction . Proceedings of the 2006 IEEE International Geoscience and Remote Sensing Symposium . July 31–August 4 , Denver , CO . pp. 3317 – 20 . Piscataway , NJ : IEEE .

5. Multisource Data Fusion for Landslide Classification Using Generalized Positive Boolean Functions

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