doi: 10.4304/jsw.6.7.1188-1193
Design and Implementation of Coastal Zone Remote Sensing Information Extraction Platform
2Key Laboratory of Surveying and Mapping Technology on Island and Reef, SBSM, China
Abstract—At present, there is no dedicated software platform for the coastal zone remote sensing information extraction. For the complexity of the coastal zone targets which contains shoreline, vegetation and coastal zone types and so on, users can not extract information automatically by computers, so users need operate extraction by comparing to interpreting marks and remote sense images frequently. In other side, when users classify the information, they have to look through the information type code table to get the code value firstly. In one word, the current coastal zone remote sensing information extraction is very complicated and low efficient. In view of the characteristics of coastal zone information extraction, this article analyzes the requirements of coastal zone information extraction software, designs the coastal zone information extraction software. The function of the software includes management of the targets interpreting marks and displaying in extracting procession, management of target type codes and evaluation code value automatically, editing coastal zone vector data, shorelines extraction automatically, 3D terrain displaying and reference for the information etc. At last, this article builds coastal zone remote sensing information extraction platform based on .NET and ArcEngine development platform. The software is applied in the project of offshore islands and coastal zones remote sensing survey and research of China.
Index Terms—Coastal Zone Interpreting Library, Information Extraction, Automatic extraction, Coastal Zone Mapping
Cite: Rui-fu Wang, Quan-bo Xin, Ai-chao Liu, Shao-jie Zhao, "Design and Implementation of Coastal Zone Remote Sensing Information Extraction Platform," Journal of Software vol. 6, no. 7, pp. 1188-1193, 2011.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
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