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Joint Spectral and Spatial Preprocessing Prior to End member Extraction from Hyperspectral Images Gabriel Mart a and Antonio Plaza in Computing Laboratory Department of Technology of Computers and
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Joint spectral and spatial refers to the combination of spectral and spatial information in data analysis or imaging. It involves examining the spectral characteristics and spatial distribution of data or images.
The individuals or organizations involved in data analysis or imaging that utilize spectral and spatial information are required to file joint spectral and spatial reports.
To fill out joint spectral and spatial reports, one needs to carefully analyze the spectral and spatial data or images and provide accurate information regarding their characteristics and distribution. The specific process may vary depending on the context and purpose of the analysis.
The purpose of joint spectral and spatial analysis is to gain a comprehensive understanding of data or images by considering both their spectral characteristics and spatial distribution. It allows for more accurate interpretation and insights into the data.
The information to be reported on joint spectral and spatial includes the spectral characteristics of the data or images, such as wavelength or frequency ranges, and the spatial distribution, such as the location or arrangement of features within the data or images.
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