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- W1482862163 abstract "This chapter reviews the recent publications in object-based image analysis (OBIA) and examines the use of scales in those publications. It focuses on scale optimization and discusses the related trends. Peer-reviewed papers on OBIA published since 2008 are reviewed. Land cover classification is perhaps the application field that most frequently applies OBIA. Many studies investigated land cover and land use information in urban/ suburban areas using OBIA approaches. Object-based change detection is a current focus in OBIA and different change detection approaches have been employed. Scientists have continued to improve OBIA approaches by fusing different algorithms. Many studies have investigated optimum scale selection in algorithm-oriented OBIA studies. Some studies focused on developing new segmentation algorithms. In general, there appears to be a consensus on the need of a universally applicable method to identify optimum scale in OBIA and to compare scales among segmentations of different remote sensing data." @default.
- W1482862163 created "2016-06-24" @default.
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- W1482862163 date "2014-02-07" @default.
- W1482862163 modified "2023-10-12" @default.
- W1482862163 title "Optimum Scale in Object-Based Image Analysis" @default.
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- W1482862163 doi "https://doi.org/10.1002/9781118801628.ch10" @default.
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