The Impact of Lossy Compression on Hyperspectral Data Adaptive Spectral Unmixing and PCA Classification

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Provided by: International Journal of Science and Modern Engineering (IJISME)
Topic: Data Management
Format: PDF
In the past, scientific data have been almost exclusively compressed by means of lossless methods, in order to preserve their full quality. However, more recently, there has been an increasing interest in the lossy compression which has not yet globally accepted by the remote sensing community, mainly because it is sensed that the lossy compressed images may affect the results of posterior processing stages. Hence here, the influence of lossy compression on two standard approaches for hyperspectral data exploitation known as adaptive spectral unmixing, and supervised classification using PCA are considered.
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