Multispectral image processing for environmental monitoring

Mark J. Carlotto; Mark B. Lazaroff; Mark W. Brennan

doi:10.1117/12.142192

26 March 1993 Multispectral image processing for environmental monitoring

Mark J. Carlotto, Mark B. Lazaroff, Mark W. Brennan

Author Affiliations +

Proceedings Volume 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II; (1993) https://doi.org/10.1117/12.142192
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE