Anomaly Detection in Hyper-spectral Images Based on Convolutional Neural Networks

Name: Anomaly Detection in Hyper-spectral Images Based on Convolutional Neural Networks
Creator: xiuqiao xiang
Published: 2019-02-02T04:41:15.316Z
Keywords: Remote Sensing, Deep Learning, Hyperspectral Image Processing

xiang, xiuqiao

doi:10.17632/8bhg7zb2rr.2

Anomaly Detection in Hyper-spectral Images Based on Convolutional Neural Networks

Published: 2 February 2019| Version 2 | DOI: 10.17632/8bhg7zb2rr.2

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xiuqiao xiang

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Algorithm_programs： Programs for the proposed method. Data: Various types of data, including training data, raw data and processed data used for the proposed method. Other methods : Four other methods for comparison, including RX, KRX, CRD and CNND.

Anomaly Detection in Hyper-spectral Images Based on Convolutional Neural Networks

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