Object based image analysis for remote sensing (2009)/ ISPRS Journal of Photogrammetry and Remote Sensing
: Seongmin Shin
2019. 04. 17. (Wed) - 12:00 ~ 13:30
102 dong Seminar room 418, Graduate School of International Agricultural Technology
6. Main contents
○ Remote sensing imagery needs to be converted into tangible information which can be utilised in conjunction with other data sets, often within widely used Geographic Information Systems (GIS).
○ As long as pixel sizes remained typically coarser than, or at the best, similar in size to the objects of interest, emphasis was placed on per-pixel analysis, or even sub-pixel analysis for this conversion, but with increasing spatial resolutions alternative paths have been followed, aimed at deriving objects that are made up of several pixels
○ This paper gives an overview of the development of object based methods, which aim to delineate readily usable objects from imagery while at the same time combining image processing and GIS functionalities in order to utilize spectral and contextual information in an integrative way
○ a comprehensive literature review, 820 OBIA-related articles comprising 145 journal papers, 84 book chapters and nearly 600 conference papers
○ It becomes evident that the first years of the OBIA/GEOBIA developments were characterised by the dominance of `grey' literature, but that the number of peer-reviewed journal articles has increased sharply over the last four to five years
○ . The pixel paradigm is beginning to show cracks and the OBIA methods are making considerable progress towards a spatially explicit information extraction workflow, such as is required for spatial planning as well as for many monitoring programmes.