Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 2 of 18 found articles
 
 
  Advances in classification for land cover mapping using SPOT HRV imagery
 
 
Title: Advances in classification for land cover mapping using SPOT HRV imagery
Author: Baker, J. R.
Briggs, S. A.
Gordon, V.
Jones, A. R.
Settle, J. J.
Townshend, J. R. G.
Wyatt, B. K.
Appeared in: International journal of remote sensing
Paging: Volume 12 (1991) nr. 5 pages 1071-1085
Year: 1991-05-01
Contents: High-resolution data from the HRV (High Resolution Visible) sensors onboard the SPOT-1 satellite have been utilized for mapping semi-natural and agricultural land cover using automated digital image classification algorithms. Two methods for improving classification performance are discussed. The first technique involves the use of digital terrain information to reduce the effects of topography on spectral information while the second technique involves the classification of land-cover types using training data derived from spectral feature space. Test areas in Snowdonia and the Somerset Levels were used to evaluate the methodology and promising results were achieved. However, the low classification accuracies obtained suggest that spectral classification alone is not a suitable tool to use in the mapping of semi-natural cover types.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 18 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands