OPTIONS FOR SOLID POINT TARGET DETECTION IN HYPERSPECTRAL DATA

被引：0

作者：

Yurkovetsky, Eliad ^{[1
]}

Rotman, Stanley R. ^{[1
]}

机构：

[1] Ben Gurion Univ Negev, Sch Elect & Comp Engn, Beer Sheva, Israel

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

hyperspectral; point target detection; covariance matrix;

D O I：

10.1109/IGARSS52108.2023.10281974

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Adaptive target detection algorithms need to estimate parameters before the actual calculation of the metric for target detection. For solid subpixel targets in hyperspectral data, we consider two algorithms for effective detection. The first algorithm uses explicitly only background estimation; the second estimates both the background and the target fraction in the pixel. We compare the performance of each algorithm; we also consider the need to alter the estimated covariance matrix based on the estimated target fraction.

引用

页码：2270 / 2273

页数：4

共 50 条

[31] Target detection for hyperspectral image based on support vector data description
Wang, Xiaofei
Zhang, Junping
Yan, Qiujing
Chi, Yaobin
Zhongguo Jiguang/Chinese Journal of Lasers, 2014, 41
[32] An assessment of effects of various parameters on target detection using hyperspectral Data
Yadav, Deepti
Arora, M. K.
Tiwari, K. C.
Ghosh, J. K.
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS VI, 2016, 9880
[33] A support vector data description approach to target detection in hyperspectral imagery
Sakla, Wesam A.
Sakla, Adel A.
Chan, Andrew
AUTOMATIC TARGET RECOGNITION XIX, 2009, 7335
[34] Spectral-spatial target detection based on data field modeling for hyperspectral data
Da LIU
Jianxun LI
Chinese Journal of Aeronautics, 2018, 31 (04) : 795 - 805
[35] Spectral-spatial target detection based on data field modeling for hyperspectral data
Da LIU
Jianxun LI
Chinese Journal of Aeronautics, 2018, (04) : 795 - 805
[36] Spectral-spatial target detection based on data field modeling for hyperspectral data
Liu, Da
Li, Jianxun
CHINESE JOURNAL OF AERONAUTICS, 2018, 31 (04) : 795 - 805
[37] Analysis of false alarm distributions in the development and evaluation of hyperspectral point target detection algorithms
Caefer, Charlene E.
Stefanou, Marcus S.
Nielsen, Eric D.
Rizzuto, Anthony P.
Raviv, Ori
Rotman, Stanley R.
OPTICAL ENGINEERING, 2007, 46 (07)
[38] Hyperspectral data cube segmentation analysis in sub-pixel target detection
Ben Avraham, Eliya
Rotman, Stanley R.
ALGORITHMS, TECHNOLOGIES, AND APPLICATIONS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGING XXVII, 2021, 11727
[39] Target Detection Assessment of the SHARE 2010/2012 Hyperspectral Data Collection Campaign
Ientilucci, Emmett J.
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXI, 2015, 9472
[40] Hyperspectral data collection for the assessment of target detection algorithms: the Viareggio 2013 trial
Rossi, Alessandro
Acito, Nicola
Diani, Marco
Corsini, Giovanni
De Ceglie, Sergio Ugo
Riccobono, Aldo
Chiarantini, Leandro
ELECTRO-OPTICAL REMOTE SENSING, PHOTONIC TECHNOLOGIES, AND APPLICATIONS VIII; AND MILITARY APPLICATIONS IN HYPERSPECTRAL IMAGING AND HIGH SPATIAL RESOLUTION SENSING II, 2014, 9250

← 1 2 3 4 5 →