An Extraction Method of Urban Ecological Types Based on Object-oriented Classification-A Case Study on Wuhan City

DOI

10.2991/rsete.2013.222How to use a DOI?

Keywords

Object-oriented, urban ecological types extraction, image segmentation, object feature selection

Abstract

Combining SPOT5 multispectral and panchromatic data of Wuhan city, object-oriented method of land cover classification is used to extract the urban ecological types, such as water, vegetation, bare land and impervious surface (including building, road, and other artificial surface) in this paper. The first fundamental step is image segmentation, and then object features that can distinguish each ecological type are selected to extract urban ecological types progressively in this study. After the classification, an accuracy assessment is carried out and the overall accuracy is 94.75%, which can meet the needs of subsequent analyses to Wuhan city.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wu Mengmeng
AU  - Jiao Weili
AU  - Wang Wei
AU  - Liu Huichan
AU  - Long Tengfei
PY  - 2013/08
DA  - 2013/08
TI  - An Extraction Method of Urban Ecological Types Based on Object-oriented Classification-A Case Study on Wuhan City
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 916
EP  - 919
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.222
DO  - 10.2991/rsete.2013.222
ID  - Mengmeng2013/08
ER  -