NDLI: High Spatial Resolution remote sensing Image segmentation using Temporal Independent Pulse Coupled Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Li Liwei Ma Jianwen Chen Xue Wen Qi Xi Xiaoyan
Copyright Year	2007
Description	Author affiliation: CAS, Beijing (Li Liwei; Ma Jianwen; Chen Xue; Wen Qi)
Abstract	Temporal independent pulse-coupled neuron network (TI-PCNN) has been developed and shows its usefulness on digital image segmentation. However, Due to its heavy computational cost and over-segmentation of objects within the range of low intensity, the original TI-PCNN method is ineffective at segmenting High Spatial Resolution remotely sensed Images (HSRI). By taking into account of spatial and spectral characteristics of HSRI, an improved method based on the TI-PCNN was developed and used to segment HSRI. Experiment was carried out on a subset of an aerial image. Result showed that the improved method largely overcomes the drawbacks of the original method and provided a promising approach for HSRI segmentation.
Starting Page	1915
Ending Page	1917
File Size	475247
Page Count	3
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423200
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial resolution Remote sensing Image segmentation Neural networks Neurons Computational efficiency Pixel Digital images Joining processes Earth High spatial resolution remote sensing image Temporal-Independent Pulse-Coupled Neuron Network Segmentation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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