Parallel fine spatial resolution satellite sensor image segmentation based on an improved Pulse-Coupled Neural Network

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Abstract:

An improved Pulse-Coupled Neural Network (PCNN), which has two modules with different inner processing mechanisms, was introduced and applied to segment an IKONOS image with different parameters. Results show that the improved PCNN can segment the image in a parallel and multiscale way, and the output image is easier to analyse than with the basic PCNN.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160701442047

Affiliations: 1: State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China,Graduate School, Chinese Academy of Sciences, Beijing, China 2: State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China

Publication date: January 1, 2007

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