Evaluation of Object-based Image Analysis Softwares for segmentation in Remote Sensing Applications
نویسنده
چکیده
With high resolution satellite images, object-based image analysis has dwarfed the impact of pixel-based analysis methods. Segmentation plays a pivotal role in the performance of object-oriented methods like change detection, feature extraction. We have conducted a study to compare some of the segmentation softwares of different categories. Softwares were tested on low resolution (10 m) multispectral and high resolution (1m) panchromatic images under various parameter permutations. Reference-based metrics were used to assess their performance in terms user expectations like ease & availability, fragmentation, time, fidelity.
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