Paper
26 March 1993 Multispectral image processing for environmental monitoring
Mark J. Carlotto, Mark B. Lazaroff, Mark W. Brennan
Author Affiliations +
Abstract
New techniques are described for detecting environmental anomalies and changes using multispectral imagery. Environmental anomalies are areas that do not exhibit normal signatures due to man-made activities and include phenomena such as effluent discharges, smoke plumes, stressed vegetation, and deforestation. A new region-based processing technique is described for detecting these phenomena using Landsat TM imagery. Another algorithm that can detect the appearance or disappearance of environmental phenomena is also described and an example illustrating its use in detecting urban changes using SPOT imagery is presented.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark J. Carlotto, Mark B. Lazaroff, and Mark W. Brennan "Multispectral image processing for environmental monitoring", Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); https://doi.org/10.1117/12.142192
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Multispectral imaging

Vegetation

Environmental sensing

Environmental monitoring

Atmospheric monitoring

Air contamination

Earth observing sensors

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