Share Email Print

Proceedings Paper

Application of object-oriented approach in SPOT5 image classification: a case study of interpretation of mudstone in Taiwan
Author(s): Yu Meng; Zhongming Zhao; Shu Peng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

SPOT5 imagery is widely used in urban planning, investigation of land utilization, environmental management etc. for its relatively high-resolution. Object-oriented classification techniques based on image segmentation are being actively studied in the high-resolution image process and interpretation to extract a variety of thematic information. Different from the pixel-based image analysis, the processing of the object-oriented method is based on image segment, not single pixel. The object-oriented classification includes two consecutive processes. An image is subdivided into separated regions according to the spectral and spatial heterogeneity in the image segmentation process. Then the objects are assigned to a specific class according to the class's detailed description in the image classification process. As a case study, the study area is a part of the Taiwan, whose mudstone bare-land is a significant problem due to the poor condition of the soil-physical and microclimate. The SPOT-5 image in March of 2006 is segmented and then these segments are classified to hierarchically linked objects by the eCognition software. By using manual interpreted aerial photo of the same area and traditional classification results as reference for accuracy assessment, this study has higher accuracy compared with the traditional classification.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900S (14 November 2007); doi: 10.1117/12.747323
Show Author Affiliations
Yu Meng, Institute of Remote Sensing Application (China)
Graduate School of Chinese Academy of Science (China)
Zhongming Zhao, Institute of Remote Sensing Application (China)
Shu Peng, National Geomatics Ctr. of China (China)

Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top