It is noteworthy that open source applications have been developed and studied in various fields as well as remote sensing field. Open sources for GIS have long history related to open standards over three decades, but those of remote sensing do relatively short. Moreover, there are still no summary reports for open sources for remote sensing. In this study, we summarized characteristics of open source applications for remotely sensed image processing and discussed their strengths and weaknesses at first. Based on the summary, two open source applications for InSAR Processing and Geographic Object-Based Image Analysis are practically implemented to introspect and prospect open source remote sensing. The developed applications have many advantages compared with existing open source applications because they provide user friendly interface, functions for searching from database and visualizing in mobile devises, concurrent processing of GIS and RS data. The quality of open source software is as good as commercial software. Therefore, OSRS will expand widely and improve continuously due to strengths of open source. We expect this study will be a good guide for users and developers of OSRS.
Kang, Sanggoo; Yoo, Hee Young; and Lee, Kiwon
"OPEN SOURCE REMOTE SENSING:INTROSPECT AND PROSPECT,"
Journal of Marine Science and Technology: Vol. 20:
6, Article 1.
Available at: https://jmstt.ntou.edu.tw/journal/vol20/iss6/1