A harmonic analysis model of small target detection of hyperspectral imagery

Cehui Xuebao/Acta Geodaetica et Cartographica Sinica

Volumn 42, Issue 1, 2013, Pages 34-43

  Yang, Keming ^a   Xue, Zhaohui ^b   Jia, Taotao ^a   Zhang, Tao ^a   Wang, Libo ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

CEM; Harmonic analysis; Hyperspectral remote sensing; Small target detection; Whitening processing

Indexed keywords

BACKGROUND INFORMATION; CEM; CONSTRAINED ENERGY MINIMIZATION; HIGH SPATIAL RESOLUTION IMAGES; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL REMOTE SENSING; MISSED DETECTIONS; SMALL TARGET DETECTION;

COVARIANCE MATRIX; HARMONIC ANALYSIS; METADATA; REMOTE SENSING; SPECTROSCOPY;

COMPUTATIONAL ELECTROMAGNETICS;

EID: 84875286655     PISSN: 10011595     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. HARSANYI J C. Detection and Classification of Sub-pixel Spectral Signatures in Hyperspectral Image Sequences [D]. Baltimore: University of Maryland, 1993.
2. DU bo. Sub-pixel Target Detection from Hyperspectral Remote Sensing Imagery [D]. Wuhan: Wuhan University, 2010: 1-152.
3. ROBEY F C, FUHRMANM D R, KELLY E J, et al. A CFAR Adaptive Matched Filter Detector [J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(1): 208-216.
4. LIU Xiang. Target Detection on Hyperspectral Imagery Based on Transformation of Spectral Dimensions [D]. Beijing: Institute of Remote Sensing Applications of CAS, 2008: 1-182.
5. XUN Lina, FANG Yonghua, LI Xin. Target Detection Algorithm in Hperspectral Image Based on CEM [J]. Opto-Electronic Engineering, 2007, 34(7): 18-21.
6. ZHANG Bing, GAO Lianru. Hyperspectral Image Classification and Target Detection [M]. Beijing: Science Press, 2011: 223-226.
7. HE Lin, PAN Quan, ZHAO Yongqiang, et al. CFAR Target Detection in Unknown Background Based on Subspace Projection in Aerial Hyperspectral Imagery [J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(4): 657-662.
8. LU Wei, YU Xuchu, LIU Juan, et al. A Small Targets Detection Approach Based on Anomaly Distributing in Hyperspectral Imegery [J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(1): 40-45.
9. REED I S, YU X. Adaptive Multiple-band CFAR Detection of an Optical Pattern with Unknown Spectral Distribution [J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1990, 38(10): 1760-1770.
10. GENG Xiurui. Target Detection and Classification for Hyperspectral Imagery [D]. Beijing: Institute of Remote Sensing Applications of CAS, 2005: 1-104.
11. GENG Xiurui, ZHAO Yongchao. Basic Theory of Small Target Detecting of Hyperspectral Remote Sensing Imagery [J]. Science in China: Series D, Earth Science, 2007, 37(8): 1081-1087.
12. YANG Keming, LI Hui, GUO Dazhi. Feature Mapping of Hyperspectral Images Based on Best Basis of Wavelet Packet Decomposition [J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(1): 54-58.
13. LI Qingbo, LI Xiang, ZHANG Guangjun. A Hyperspectral Small Target Detection Method Based on Outlier Detection [J]. Spectroscopy and Spectral Analysis, 2008, 28(8): 1832-1836.
14. CHANG C I, CHIANG S S. Anomaly Detection and Classification for Hyperspectral Imagery [J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(6): 1314-1325.
15. TANG Shengqing, CHENG Xiaohua. A Harmonic Measuring Approach Based on Multilayered Feed Forward Neural Network [J]. Proceedings of the CSEE, 2006, 26(18): 90-94.
16. JAKUBAUSKAS M E, LEGATES D R, KASTENS J H. Harmonic Analysis of Time-series AVHRR NDVI Data [J]. Photogrammetric Engineering & Remote Sensing, 2001, 67(4): 461-470.
17. JAKUBAUSKAS M E, LEGATES D R, KASTENS J H. Crop Identification Using Harmonic Analysis of Time-series AVHRR NDVI Data [J]. Computers and Electronics in Agriculture, 2002, 37(1-3): 127-139.
18. TOSHIHIRO S, MASAYUKI Y, HITOSHI T, et al. A Crop Phenology Detection Method Using Time-series MODIS Data [J]. Remote Sensing of Environment, 2005, 96(3/4): 366-374.
19. BETHANY A B, ROBERT W J, JOHN F H, et al. A Curve Fitting Procedure to Derive Inter-annual Phenologies from Time Series of Noisy Satellite NDVI Data [J]. Remote Sensing of Environment, 2007, 106(2): 137-145.
20. RAYNER J N. An Introduction to Spectral Analysis [M]. London: Pion Ltd, 1971.
21. DAVIS J C. Statistics and Data Analysis in Geology [M]. 2nd ed. New York: John Wiley & Sons, 1986.
22. WAKILEH G J. Power Systems Hanrmonics: Fundamentals, Analysis and Filter Design [M]. New York: Springer, 2001.
23. TONG Qingxi, ZHANG Bing, ZHENG Fenlan. Hyperspectral Remote Sensing: Principles, Technology and Applications [M]. Beijing: Higher Education Press, 2006: 218-238.