Remote sensing imagery classification on a base of GIS knowledge invocation

Dmitri A. Denissov

doi:10.1117/12.221392

29 September 1995 Remote sensing imagery classification on a base of GIS knowledge invocation

Dmitri A. Denissov

Proceedings Volume 2553, Infrared Spaceborne Remote Sensing III; (1995) https://doi.org/10.1117/12.221392
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

The ways in which the knowledge gained from GIS can be incorporated into the satellite imagery classification process are analyzed. The problem of land cover types classification and land cover types annual changes detection is considered with respect to a particular area of Germany. The emphasis is given to the inland water bodies change detection, woodland development analysis and suburban development analysis. The possibilites of simultaneous manipulation over the raster (satellite images) and vector (map information) spatial data are demonstrated.

Citation Download Citation

Dmitri A. Denissov "Remote sensing imagery classification on a base of GIS knowledge invocation", Proc. SPIE 2553, Infrared Spaceborne Remote Sensing III, (29 September 1995); https://doi.org/10.1117/12.221392

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

Includes PDF, HTML & Video, when available