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Remote Sensing Landslide Recognition Based on Convolutional Neural Network

Remote Sensing Landslide Recognition Based on Convolutional Neural Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2299082663

Remote Sensing Landslide Recognition Based on Convolutional Neural Network

About this item

Full title

Remote Sensing Landslide Recognition Based on Convolutional Neural Network

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Mathematical problems in engineering, 2019, Vol.2019 (2019), p.1-12

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

Landslides are a type of frequent and widespread natural disaster. It is of great significance to extract location information from the landslide in time. At present, most articles still select single band or RGB bands as the feature for landslide recognition. To improve the efficiency of landslide recognition, this study proposed a remote sensing...

Alternative Titles

Full title

Remote Sensing Landslide Recognition Based on Convolutional Neural Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2299082663

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2299082663

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2019/8389368

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