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Proceedings Paper

Subpixel target size estimation for remotely sensed imagery
Author(s): Chein-I Chang; Hsuan Ren; Francis M. D'Amico; James O. Jensen
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Paper Abstract

One of challenges in remote sensing image processing is subpixel detection where the target size is smaller than the ground sampling distance. In this case, targets of interest have their sizes less than the pixel resolution, therefore, embedded in a single pixel. Under such a circumstance, these targets can be only detected spectrally at subpixel level, not spatially as ordinarily conducted by classical image processing techniques. This paper investigates a more challenging issue than subpixel detection, which is subpixel target size estimation. More specifically, when a single pixel-embedded target is detected, we would like to know what is the size of this particular target within the pixel. Our proposed approach is fully constrained linear spectral unmixing (FCLSU), which allows us to estimate the abundance fraction of the target present in the pixel that determines the size of the target. In order to evaluate the proposed FCLSU, two sets of experiments are conducted, computer simulations and real HYDICE data, where computer simulations are used to plant targets to validate our approach and real data are used to demonstrate the utility of the FCLSU in practical applications.

Paper Details

Date Published: 23 September 2003
PDF: 10 pages
Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); doi: 10.1117/12.487058
Show Author Affiliations
Chein-I Chang, Univ. of Maryland/Baltimore County (United States)
U.S. Army Edgewood Chemical Biological Ctr. (United States)
Hsuan Ren, U.S. Army Edgewood Chemical Biological Ctr. (United States)
Francis M. D'Amico, U.S. Army Edgewood Chemical Biological Ctr. (United States)
James O. Jensen, U.S. Army Edgewood Chemical Biological Ctr. (United States)


Published in SPIE Proceedings Vol. 5093:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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