The University of Southampton
University of Southampton Institutional Repository

Sub-pixel land cover mapping for per-field classification

Aplin, P. and Atkinson, P.M. (2001) Sub-pixel land cover mapping for per-field classification International Journal of Remote Sensing, 22, (14), pp. 2853-2858.

Record type: Article


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

PDF Aplin_&_Atkinson_IJRS_2001.pdf - Other
Restricted to Registered users only
Download (545kB)

More information

Published date: 2001


Local EPrints ID: 17298
ISSN: 0143-1161
PURE UUID: b32711bf-fbac-45e1-91d9-29cd8a5e6a7b

Catalogue record

Date deposited: 17 Aug 2005
Last modified: 17 Jul 2017 16:39

Export record


Author: P. Aplin
Author: P.M. Atkinson

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.