Soft computing and hyperspectral video for background extraction

Tomasz P. Jannson; Paul I. Shnitser; Sergey Sandomirsky; Andrew A. Kostrzewski; Sookwang Ro

doi:10.1117/12.392544

24 July 2000 Soft computing and hyperspectral video for background extraction

Tomasz P. Jannson, Paul I. Shnitser, Sergey Sandomirsky, Andrew A. Kostrzewski, Sookwang Ro

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392544
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

This paper presents experimental results of hyperspectral image compression by means of soft computing. Compressions and transmission of hyperspectral data requires intensive computation and sophisticated processing that have been incompatible with on-board real-time operation. Soft computing with intelligent processing optimizes the compression parameters of MPEG 1, tuning them to the specific video content to deliver the highest hyperspectral video compression quality. This soft computing approach is compared with compression based on wavelet transform.

Citation Download Citation

Tomasz P. Jannson, Paul I. Shnitser, Sergey Sandomirsky, Andrew A. Kostrzewski, and Sookwang Ro "Soft computing and hyperspectral video for background extraction", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392544

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