By Topic

New classification techniques for analysis of remote sensing integrated data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Console, E. ; T.E.A. s.a.s., Catanzaro, Italy ; Mouchot, M.C.

The aim of this work is the application of techniques based on fuzzy logic for integrating and classifying spectral data and spatial information. The analysis was performed on a Landsat-TM image and on a set of map field data. Firstly fuzzy membership values of Landsat image pixels were calculated and a buffer area was defined around map field data for each considered class. The membership values were then modulated using spatial information derived from known targets. Finally the accuracy of the classification was assessed on a set of test data. The obtained results shown a significant improvement compared to more traditional methods of classification

Published in:

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International  (Volume:2 )

Date of Conference:

3-8 Aug 1997