The Comparison of Segmentation Results for High-Resolution Remote Sensing Image between eCognition and EDISON

Xin Liu; Jing Wen Xu; Jun Fang Zhao; Li Yong; Zhan Xin

doi:10.4028/www.scientific.net/AMM.713-715.373

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715The Comparison of Segmentation Results for...

The Comparison of Segmentation Results for High-Resolution Remote Sensing Image between eCognition and EDISON

Abstract:

For the point of high-resolution remote sensing image segmentation, this paper compared the segmentation effect between eCognition and EDISON through adjusting appropriate parameters. The experiment show that eCognition plays better than that of EDISON in segmenting more complex ground objects, while EDISON plays better in segmentation more uniform ground objects.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

373-376

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.373

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Online since:

January 2015

Authors:

Xin Liu, Jing Wen Xu*, Jun Fang Zhao, Li Yong, Zhan Xin

Keywords:

Ecognition, Edison, High-Resolution Remote Sensing Image, Image Segmentation

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* - Corresponding Author

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