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An integrated image processing platform designed for Chinese GF-1 wide field view data
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Paper Abstract

The Wide Field View (WFV), a space borne multi-spectral sensor onboard the Chinese GaoFen-1 (GF-1) satellite from the China High-resolution Earth Observation System, is operating in orbit dedicating to providing Earth observation with decametric spatial resolution, high temporal resolution and wide coverage for environment monitoring purpose. The objective of this study is to present an integrated image processing and environment monitoring platform specifically for GF-1 WFV data. The platform is developed with a multi-layer architecture and C/S structure, which primarily consists of image pre-processing, environment monitoring, data visualization, and results output modules. The client application was created by using C# whereas IDL was used to develop image processing and other relevant algorithms. This paper focuses mainly on the overall design of the platform and related key techniques. The platform has been implemented as a stand-alone application, and successfully implemented in real world environment monitoring studies.

Paper Details

Date Published: 19 September 2016
PDF: 10 pages
Proc. SPIE 9975, Remote Sensing and Modeling of Ecosystems for Sustainability XIII, 99750S (19 September 2016); doi: 10.1117/12.2237116
Show Author Affiliations
Zhishan Li, East China Normal Univ. (China)
Runhe Shi, East China Normal Univ. (China)
Chaoshun Liu, East China Normal Univ. (China)
Maosi Chen, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 9975:
Remote Sensing and Modeling of Ecosystems for Sustainability XIII
Wei Gao; Ni-Bin Chang, Editor(s)

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