Fast parallel algorithms for remote-sensing image classification

Fangju Wang

doi:10.1117/12.142195

26 March 1993 Fast parallel algorithms for remote-sensing image classification

Fangju Wang

Proceedings Volume 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II; (1993) https://doi.org/10.1117/12.142195
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Digital image classification is a computation intensive task. In remote sensing image analysis, a large proportion of computing time is spent on image classification. Reducing the time required for classification may largely improve the efficiency of image analysis. This is especially significant for real-time applications of remote sensing images. Parallel computing provides effective techniques for improving data processing efficiency. In this paper, three parallel classification algorithms for multiple spectral remote sensing images are described. The strategies for the parallel classification are discussed and experimental results are presented and analyzed.

Citation Download Citation

Fangju Wang "Fast parallel algorithms for remote-sensing image classification", Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); https://doi.org/10.1117/12.142195

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