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Hyperspectral image classification is an important part of the hyperspectral remote sensing information processing. The Iterative Selforganizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm which is an unsupervised classification algorithm is considered as an effective measure in the area of processing hyperspectral images. In this paper, an improved ISODATA algorithm is proposed...
Hyperspectral imaging technology has been applied in histology and cytology for a long time. Image quality and spectra are usually affected by light source, optics and sensors in hyperspectral imaging systems. This paper proposes a continuum removal algorithm and radiometric correction preprocessing method to eliminate these influences. The algorithm removes the continuum of image after the spectra...
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