A multiple constrained signal subspace projection for target detection in hyperspectral images

Mapping Intimacies ◽

10.1117/12.2180419 ◽

2015 ◽

Author(s):

Lena Chang ◽

Yen-Ting Wu ◽

Zay-Shing Tang ◽

Yang-Lang Chang

Keyword(s):

Target Detection ◽

Hyperspectral Images ◽

Signal Subspace ◽

Subspace Projection

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A Combined Signal Subspace Projection and Partial Filtering Approach to Target Detection for Hyperspectral images

2006 IEEE International Symposium on Geoscience and Remote Sensing ◽

10.1109/igarss.2006.998 ◽

2006 ◽

Cited By ~ 2

Author(s):

L. Chang ◽

C.-M. Cheng ◽

F. Tseng

Keyword(s):

Target Detection ◽

Hyperspectral Images ◽

Signal Subspace ◽

Subspace Projection ◽

Filtering Approach

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An efficient classification by signal subspace projection and partial filtering for hyperspectral images

10.1117/12.2023808 ◽

2013 ◽

Author(s):

Lena Chang ◽

Zay-Shing Tang ◽

Hsien-Sen Hung ◽

Yang-Lang Chang

Keyword(s):

Hyperspectral Images ◽

Signal Subspace ◽

Subspace Projection

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Moving Target Detection and Motion Estimation in Foliage Using along Track Monopulse Synthetic Aperture Radar Imaging and Signal Subspace Processing of Uncalibrated MTD-SARs.

10.21236/ada329234 ◽

1997 ◽

Author(s):

Mehrdad Soumekh

Keyword(s):

Motion Estimation ◽

Synthetic Aperture Radar ◽

Target Detection ◽

Radar Imaging ◽

Synthetic Aperture ◽

Moving Target ◽

Signal Subspace ◽

Moving Target Detection ◽

Along Track ◽

Subspace Processing

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Orthogonal Subspace Projection Using Data Sphering and Low-Rank and Sparse Matrix Decomposition for Hyperspectral Target Detection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3053201 ◽

2021 ◽

pp. 1-19

Author(s):

Chein-I Chang ◽

Jie Chen

Keyword(s):

Target Detection ◽

Sparse Matrix ◽

Matrix Decomposition ◽

Low Rank ◽

Subspace Projection ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection ◽

Using Data

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Optimal target detection for hyperspectral images with uniform backgrounds

Optical Engineering ◽

10.1117/1.2227366 ◽

2006 ◽

Vol 45 (7) ◽

pp. 076202 ◽

Cited By ~ 1

Author(s):

Steven Johnson

Keyword(s):

Target Detection ◽

Hyperspectral Images ◽

Optimal Target

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Target detection of hyperspectral images based on their Fourier spectral features

Optical Engineering ◽

10.1117/1.oe.51.11.111704 ◽

2012 ◽

Vol 51 (11) ◽

pp. 111704 ◽

Cited By ~ 5

Author(s):

Khairul-Muzzammil Saipullah

Keyword(s):

Target Detection ◽

Hyperspectral Images ◽

Spectral Features

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Cointegration theory for adaptive target detection in hyperspectral images

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6351698 ◽

2012 ◽

Cited By ~ 1

Author(s):

Jihao Yin ◽

Chao Gao ◽

Xiuping Jia

Keyword(s):

Target Detection ◽

Hyperspectral Images

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A comparative study of several supervised target detection algorithms for hyperspectral images

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) ◽

10.1109/uemcon.2017.8249024 ◽

2017 ◽

Cited By ~ 2

Author(s):

D. Nguyen ◽

C. Kwan ◽

B. Ayhan

Keyword(s):

Comparative Study ◽

Target Detection ◽

Hyperspectral Images ◽

Detection Algorithms

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Comparison of Target Detection Performance for Radiance and Reflectance Domain in VNIR Hyperspectral Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8899139 ◽

2019 ◽

Author(s):

Omer Ozdil ◽

Ahmet Gunes ◽

Yunus Emre Esin ◽

Berkan Demirel ◽

Safak Ozturk

Keyword(s):

Target Detection ◽

Detection Performance ◽

Hyperspectral Images

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Hyperspectral target detection using kernel orthogonal subspace projection

IEEE International Conference on Image Processing 2005 ◽

10.1109/icip.2005.1530152 ◽

2005 ◽

Author(s):

Heesung Kwon ◽

N.M. Nasrabadi

Keyword(s):

Target Detection ◽

Subspace Projection ◽

Orthogonal Subspace ◽

Orthogonal Subspace Projection

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