Principal component analysis for hyperspectral image classification

Surveying and Land Information Science

Volumn 62, Issue 2, 2002, Pages 115-122

  Rodarmel, Craig ^a   Shan, Jie ^b  

^a EarthData International of Maryland   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Hyperspectral images; Image classification; Land use; Principal component analysis

Indexed keywords

AVIRIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; REMOTE SENSING; SPECTRAL RESOLUTION;

EID: 1942424158     PISSN: 15381242     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Campbell, J. 1996. Introduction to remote sensing. New York, New York: The Guilford Press. pp.287-92.
2. Carr, J., and K. Matanawi. Correspondence analysis for principal components transformation of multispectral and hyperspectral digital images. PE&RS 65(8): 909-14.
3. Gonzalez, R., and R. Woods. 1993. Digital image processing. Reading, Massachusetts, Addison-Wesley Publishing Company. pp.148-56.
4. Hughes, G. 1968. On the mean accuracy of statistical pattern recognizers. IEEE Transaction on Information Theory IT-14(1): 55-63.
5. Landgrebe, D. 2000. Information extraction principles and methods for multispectral and hyperspectral image data. Chapter 1: Information Processing for Remote Sensing, edited by C. H. Chen. River Edge, New Jersey, World Scientific Publishing Co., Inc.
6. Lanzl, F., and A. Mueller. 1999. Imaging spectroscopy: Strategic activities at the DLR Institute of Optoelectronics. In: Proceedings of SPIE, Imaging Spectrometry V(3753): 25-34.
7. Lillesand, T., and R. Kiefer. 2000. Remote sensing and image interpretation. New York, New York: John Wiley and Sons. pp. 518-23.
8. Mather, P. 1999. Computer processing of remotely-sensed images'An introduction, 2nd ed. New York, New York: John Wiley & Sons. pp. 126-38.
9. Porter, W., and H. Enmark. 1987. A system overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). In: Proceedings at SPIE 834:114-26.
10. Research Systems, Inc., 1999. ENVI users guide and tutorials.
11. Schowengerdt, R. 1997. Remote sensing: Models and methods for image processing, 2nd ed. Academic Press. pp. 1- 11; 179-98.
12. Shahshahani, B., and D. Landgrebe. 1994. The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon. IEEE Transactions on Geoscience and Remote Sensing 32(5): 1087-95.
13. Wilson, T., and C. Davis. 1999. Naval EarthMap Observer (NEMO) Satellite. In: Proceedings of SPIE, Imaging Spectrometry V (3753): 2-11.
14. Zhang, B., X. Wang, J. Liu, L. Zheng, and Q. Tong. 2000. Hyperspectral Image Processing and Analysis System (HIPAS) and its application. Photogrammetric Engineering and Remote Sensing 66(5): 605-9.