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Detection of Targets in Terrain Clutter by Using Multispectral Infrared Image Processing

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Bibliographic Details
Title: Detection of Targets in Terrain Clutter by Using Multispectral Infrared Image Processing
Authors: Hoff, L. E., Evans, J. R., Bunney, L. E.
Contributors: NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
Source: DTIC AND NTIS
Publication Year: 1990
Collection: Defense Technical Information Center: DTIC Technical Reports database
Subject Terms: Infrared Detection and Detectors, IMAGE PROCESSING, INFRARED DETECTORS, RATIOS, DETECTION, CLUTTER, SIGNAL TO NOISE RATIO, TERRAIN, TARGETS, RURAL AREAS, INFRARED IMAGES, COEFFICIENTS, COLORS, GAIN, AUSTRALIA, SURFACE TARGETS, MULTISPECTRAL, INPUT, ALGORITHMS, CORRELATION, MULTISPECTRAL PROCESSING, PE63226E, WUDN388563
Description: A weighted-difference signal-processing algorithm for detecting ground targets by using dual-band IR data was investigated. Three variations of the algorithm were evaluated: (1) simple difference; (2) minimum noise; and (3) maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss (targets without color) to a maximum.
Document Type: text
File Description: text/html
Language: English
Relation: http://www.dtic.mil/docs/citations/ADA237436
Availability: http://www.dtic.mil/docs/citations/ADA237436
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA237436
Rights: Approved for public release; distribution is unlimited.
Accession Number: edsbas.BA550E1B
Database: BASE
Description
Abstract:A weighted-difference signal-processing algorithm for detecting ground targets by using dual-band IR data was investigated. Three variations of the algorithm were evaluated: (1) simple difference; (2) minimum noise; and (3) maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss (targets without color) to a maximum.