Skip navigation
Skip navigation

Probabilistic modelling of stability and resolution of thematic classes from remotely sensed and digital terrain data

Alimohammadi, Abbas Sarab

Description

The conventional methods of information extraction from remotely sensed data based on the use of statistical techniques such as Maximum-Likelihood Classification (MLC) and deterministic decisions can lead to inefficient use of these data. These limitations are more apparent in high resolution imagery where pixel-based classifications do not produce satisfactory results. Furthermore the accuracy data provided in the form of confusion matrices provide minimal spatial information on...[Show more]

CollectionsOpen Access Theses
Date published: 1994
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/114554

Download

File Description SizeFormat Image
b19045967_Alimohammadi_Abbas_Sarab.pdf182.37 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator