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Sub-pixel land cover mapping for per-field classification

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>2001
<mark>Journal</mark>International Journal of Remote Sensing
Issue number14
Volume22
Number of pages6
Pages (from-to)2853-2858
Publication StatusPublished
<mark>Original language</mark>English

Abstract

A method was developed to transform a soft land cover classification into hard land cover classes at the sub-pixel scale for subsequent per-field classification. First, image pixels were segmented using vector boundaries. Second, the pixel segments (ranked by area) were labelled with a land cover class (ranked by class typicality). Third, a hard per-field classification was generated by examining each polygon (representing a land cover parcel, or field) in its entirety (by grouping the fragments of the polygon contained within different image pixels) and assigning to it the modal land cover class. The accuracy of this technique was considerably higher than that of both a corresponding hard per-pixel classification and a perfield classification based on hard per-pixel classified imagery.

Bibliographic note

M1 - 14