Generalized orthogonal subspace projection approach to multispectral image classification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3500, Issue , 1998, Pages 42-53

  Ren, Hsuan ^a   Chang, Chein I ^a  

^a University of Marylandw Baltimore County   (United States)

Author keywords

Generalized orthogonal subspace projection (GOSP). Orthogonal subspace projection (OSP). Automatic target detection and classification algorithm (ATDCA)

Indexed keywords

IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY;

AUTOMATIC TARGET DETECTION AND CLASSIFICATION ALGORITHMS; CLASSIFICATION PERFORMANCE; GENERALIZED ORTHOGONAL; INTRINSIC CONSTRAINTS; MULTISPECTRAL IMAGE CLASSIFICATION; MULTISPECTRAL IMAGE PROCESSING; ORTHOGONAL PROJECTION; ORTHOGONAL SUBSPACE PROJECTION;

REMOTE SENSING;

EID: 33747944285     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.331896     Document Type: Conference Paper

References (13)

1. J.C. Harsanyi and C.-I Chang, "Hyperspectral image classification and dimensionality reduction an orthogonal subspace projection," IEEE Trans on Geoscience and Remote Sensing, vol. 32, pp. 779-785, 1994
2. J. Harsanyi, Detection and Classification of Subpixel Spectral Signatures in Hyperspectral Image Sequences, Ph.D. dissertation, Department of Electrical Engineering, University of Maryland Baltimore County, Aug. 1993
3. DARPA Spectral Exploitation Workshop, Defense Advanced Research Projects Agency, Annapolis, MD, July 1-2, 1996
4. Spectroradiometric Working Group, Fort Washington, MD, February 3-4, 1997
5. T.M. Tu, C.H. Chen and C.-I Chang, "A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection," IEEE Trans on Geoscience and Remote Sensing, vol. 35, no. 1, pp. 127-139, 1997
6. C.-I Chang, "Further results on relationship between spectral unmixing and subspace projection," to appear in IEEE Trans, on Geoscience and Remote Sensing, vol. 36, no. 3, pp. 1030-1032, May, 1998
7. C.-I Chang, X. Zhao, M.L.G. Althouse and J.-J. Pan, "Least squares subspace projection approach to mixed pixel classification in hyperspectral images," IEEE Trans on Geoscience and Remote Sensing, vol. 36, pp. 898-912, 1998
8. C.-I Chang and C. Brumbley, "A Kalman filtering approach to multispectral image classification and detection of changes in signature abundance," to appear in IEEE Trans. Geoscience and Remote Sensing
9. C. Brumbley, Kalman Filtering and Subspace Approach to Multispectyral and Hyperspectral Image Classification. Ph.D. dissertation, Department of Electrical Engineering, University of Maryland Baltimore County, May 1998
10. J.J. Settle, "On the relationship between spectral unmixing and subspace projection," IEEE Trans on Geoscience and Remote Sensing, vol. 34, pp. 1045-1046, 1996
11. C.-I Chang and H. Ren, "An experimental comparison-based comparative study of mixed pixel classification algorithms for HYDICE imagery," to be submitted
12. H. Ren and C.-I Chang, "Unsupervised orthogonal subspace projection approach to target detection and classification for hyperspectral imagery," submitted for publication
13. B.M. Shahshahani and D.A. Landgrebe, "The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hugh phenomenon," IEEE Trans. Geoscience and Remote Sensing, vol. 32, 1994, pp. 1087-1095