Super-resolution target mapping from soft classified remotely sensed imagery
Atkinson, P.M. (2005) Super-resolution target mapping from soft classified remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 71, (7), 839-846.
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Description/Abstract
A simple, efficient algorithm is presented for sub-pixel target mapping from remotely-sensed images. Following an initial random allocation of “soft” pixel proportions to “hard” sub-pixel binary classes, the algorithm works in a series of iterations, each of which contains three stages. For each pixel, for all sub-pixel locations, a distance-weighted function of neighboring sub-pixels is computed. Then, for each pixel, the sub-pixel representing the target class with the minimum value of the function, and the sub-pixel representing the background with the maximum value of the function are found. Third, these two sub-pixels are swapped if the swap results in an increase in spatial correlation between sub-pixels. The new algorithm predicted accurately when applied to simple simulated and real images. It represents an accessible tool that can be coded and applied readily by remote sensing investigators.
| Item Type: | Article |
|---|---|
| ISSNs: | 0099-1112 (print) |
| Related URLs: | |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GE Environmental Sciences G Geography. Anthropology. Recreation > GB Physical geography |
| Divisions: | University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis |
| Item ID: | 54927 |
| Date Deposited: | 01 Aug 2008 |
| Last Modified: | 02 Mar 2012 11:50 |
| Contributors: | Atkinson, P.M. (Author) |
| Date: | July 2005 |
| Status: | Published |
| Contact Email Address: | p.m.atkinson@soton.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/54927 |
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