Application of object-oriented approach in SPOT5 image classification: a case study of interpretation of mudstone in Taiwan

Yu Meng; Zhongming Zhao; Shu Peng

doi:10.1117/12.747323

14 November 2007 Application of object-oriented approach in SPOT5 image classification: a case study of interpretation of mudstone in Taiwan

Yu Meng, Zhongming Zhao, Shu Peng

Author Affiliations +

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67900S (2007) https://doi.org/10.1117/12.747323
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

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Yu Meng, Zhongming Zhao, and Shu Peng "Application of object-oriented approach in SPOT5 image classification: a case study of interpretation of mudstone in Taiwan", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900S (14 November 2007); https://doi.org/10.1117/12.747323

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KEYWORDS

Image segmentation

Image processing

Image classification

Roads

Clouds

Remote sensing

Feature extraction

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