- A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data.

João Gonçalves,Isabel Pôças,Bruno Marcos,Caspar A. Mücher,João P. Honrado

International Journal of Applied Earth Observation and Geoinformation（2019）

引用 43|浏览13

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摘要

•Inappropriate image segmentation parameters often lead to sub-optimal results.•The new SegOptim R package allows to optimize image segmentation parameters.•SegOptim was tested in very high - high spatial resolution images in six test sites.•Genetic Algorithms optimization improves Geographic Object-based Image Analysis.•Integration between image segmentation and supervised classification is improved.

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关键词

Geographic object-based image analysis,GEOBIA,Image segmentation,Supervised classification,Genetic algorithms,Optimization,High-spatial resolution,Open-source software,R package

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