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Ultraspectral: hyperspectral and rf features registered by IFSAR
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Paper Abstract

Hyperspectral remote sensing by air platforms can passively generate over two hundred channels of images of terabyte data the ground surface reflectance/eminence simultaneously, with wavelength ranging from 0.4 to 2.5 micrometers and to include a full infrared spectrum. We have extended the hyperspectral to include RF spectral for both the foliage penetration (from L band 1 GHz to UHF band 0.5 GHz,) using the polarization RF features and the terrain location ID for automatic navigation registration. These generalizations are possible because we have based our design of the foliage penetration (FOPEN) Interferometric Synthetic Aperture Radar (IFSAR) on all digital transceiver array and Field Programmable Gate Arrays (FPGA). We are able to do that, since we have leveraged the ONR 100 dB Digital Array Radar (DAR) for shipboard volume search radar (VSR) using the matured & rugged GaAs cellular phone technology. We study whether the high dynamic range DAR VSR approach can overcome the long baseline terran curvature (that might otherwise not be suited for the FOLPEN low frequency IFSAR). We show the standard deviation of the phase digital resolution better then 1o might overcome the terrain curvature due to low frequency, and long time integration. The applications of this technology include environmental monitoring and mineral exploration and mining, communication and Aided Target Recognition (ATR). The hyperspectral imagery takes the advantage of more unique spectral signature in terms of the massively parallel artificial neural network computation using the unsupervised learning Independent Component Analyses (ICA) algorithm introduced to the Landsat by Szu. The supervised classification is based on the library of spectral signals of known object material characteristics using various constrained versions of the orthogonal subspace projections (OSP) by. In this paper, we combine both the supervised OSP and the unsupervised ICA hyperspectral imaging algorithms. Then, we present all digital version of FOPEN SAR, considered as one of RF channels in ultraspectral image processing. Taking the advantage of the high dynamic range ONR DAR VSR technology, we can measure both RF signatures and 3D terrain by means of Interferometric (IF) FOPEN SAR. We prefer a real-time one-path fly over using bi-static Interferometric SAR equipped with a Stokes polarization vector information that can provide us with not only the RF signatures but also terrain height for location ID (knowing terran contour map stored in the flight data basis). Such an ultraspectral imaging feature-fusion system can manage Forrest search and rescue when it is complement IFSAR FOPEN with high-resolution EO/IR signatures. Conclusion and discussion are given in the final section.

Paper Details

Date Published: 26 March 2001
PDF: 16 pages
Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421207
Show Author Affiliations
Harold H. Szu, George Washington Univ. (United States)
Charles C. Hsu, Trident Systems Inc. (United States)

Published in SPIE Proceedings Vol. 4391:
Wavelet Applications VIII
Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss, Editor(s)

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