Item Infomation
Title: | Identifying and classifying slum areas using remote sensing |
Authors: | Stein, A. Kohli, D. |
Issue Date: | 2015 |
Publisher: | University of Twente Faculty of Geo-Information and Earth Observation (ITC) |
Series/Report no.: | ITC dissertation number 279 |
Abstract: | Thesis taking UN-HABITAT’s definition of slum household as a basis, this study proposes an ontological framework that conceptualizes slums using morphological indicators of the built environment; demonstrates a case of applicability of GSO and explores the transferability of an OOA method for slum classification developed on a single image area to other image areas; proposes a hierarchical method for slum detection by using a combination of texture and spatial metrics; demonstrates a method to quantify the uncertainties of slum interpretations performed by experts; presents the main research findings and conclusions corresponding to each research objective. |
Description: | PhD thesis Univesity of Twente, Summary in English |
URI: | http://tailieuso.tlu.edu.vn/handle/DHTL/4724 |
Source: | http://www.itc.nl/library/papers_2015/phd/kohli.pdf |
ISBN: | 9.7890365401e+012 |
Appears in Collections: | Tài liệu mở |
ABSTRACTS VIEWS
16
VIEWS & DOWNLOAD
0
Files in This Item:
There are no files associated with this item.
Bạn đọc là cán bộ, giáo viên, sinh viên của Trường Đại học Thuỷ Lợi cần đăng nhập để Xem trực tuyến/Tải về
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.