A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
Enhancing and replacing spectral information with intermediate structural inputs: A case study on impervious surface detection
2011
Remote Sensing of Environment
This paper assessed the incorporation of road structural information in the classification process of impervious surface areas. A multi-process classification model was adopted and it consisted of an a priori classifier and an a posteriori classifier. The role of the a priori classifier was to classify the relatively simple portions of the image. This partial classification acted as the basis for the production of linear features using an iterative Radon transform. Spatial statistics derived
doi:10.1016/j.rse.2010.12.018
fatcat:wld3htzehvf2hpgy75wu2cmugy