The extraction of land use around Grand Canal in Nanwang based on Quick Bird image using object-oriented method

Chunhua Zhu; Yueping Nie

doi:10.1117/12.815330

29 December 2008 The extraction of land use around Grand Canal in Nanwang based on Quick Bird image using object-oriented method

Chunhua Zhu, Yueping Nie

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854K (2008) https://doi.org/10.1117/12.815330
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

The Grand Canal of China is the longest ancient canal in the world. It is an astonishingly huge project in the history of Chinese civilization. However, some sections have already disappeared as the development of society and change of environment. It can be detected by using very high resolution image. Object-oriented method based on image segmentation is being actively studied in the high resolution image process and interpretation to extract a variety of thematic information. It includes two consecutive processes: first the image is subdivided into separated regions according to the spectral and spatial heterogeneity in the image segmentation process and then the objects are assigned to a specific class according to the class's detailed description in the image classification process. The result shows that the object-oriented approach can realize the full potential of the very high resolution image, have higher accuracy compared with traditional classification and allow quantitative analysis of land use, simplification of Remote Sensing and GIS integration.

Citation Download Citation

Chunhua Zhu and Yueping Nie "The extraction of land use around Grand Canal in Nanwang based on Quick Bird image using object-oriented method", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854K (29 December 2008); https://doi.org/10.1117/12.815330

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