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Framework for Hyperspectral Image Segmentation using Unsupervised Algorithm
2016
Indian Journal of Science and Technology
Hyperspectral imaging system contains stack of images collected from the sensor with different wavelengths representing the same scene on the earth. This paper presents a framework for hyperspectral image segmentation using a clustering algorithm. The framework consists of four stages in segmenting a hyperspectral data set. In the first stage, filtering is done to remove noise in image bands. Second stage consists of dimensionality reduction algorithms, in which the bands that convey less
doi:10.17485/ijst/2015/v8i1/107931
fatcat:dixucfgcyncg7a2i7gjgtnndre