Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Pixel-wise Hyperspectral Anomaly Detection via Autoencoding
  Adversarial Networks   We propose a completely unsupervised pixel-wise anomaly detection method for
hyperspectral images. The proposed method consists of three steps called data
preparation, reconstruction, and detection. In the data preparation step, we
apply a background purification to train the deep network in an unsupervised
manner. In the reconstruction step, we propose to use three different deep
autoencoding adversarial network (AEAN) models including 1D-AEAN, 2D-AEAN, and
3D-AEAN which are developed for working on spectral, spatial, and joint
spectral-spatial domains, respectively. The goal of the AEAN models is to
generate synthesized hyperspectral images (HSIs) which are close to real ones.
A reconstruction error map (REM) is calculated between the original and the
synthesized image pixels. In the detection step, we propose to use a WRX-based
detector in which the pixel weights are obtained according to REM. We compare
our proposed method with the classical RX, WRX, support vector data
description-based (SVDD), collaborative representation-based detector (CRD),
adaptive weight deep belief network (AW-DBN) detector and deep autoencoder
anomaly detection (DAEAD) method on real hyperspectral datasets. The
experimental results show that the proposed approach outperforms other
detectors in the benchmark.

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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: cmp-lg
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: cs