Minimum Noise Fraction & Pixel Purity Index in ENVI
Publish place: Third International Conference on the Development of Materials Engineering Technology, Mining and Geology
Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
EMGBC03_019
تاریخ نمایه سازی: 7 بهمن 1399
Abstract:
Almost all remote sensing images have mixed pixels. Different materials are components of image pixels and have a variety of features. Using the Pixel Purity Index (PPI), we can extract the purest pixels in multispectral and hyperspectral images. PPI will run on MNF (Minimum Noise Fraction) Output with large eigenvalues (greater than 1).
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Authors
Yousef Rahimsouri
Department of Geology, Faculty of Science, Urmia University, Iran
Hamid Tavakkoly
Department of Geology, Faculty of Science, Urmia University, Iran
Reza Abbasi Nasirkandi
Department of Geology, Faculty of Science, Urmia University, Iran