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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 47, NO. 8, AUGUST 2009 2973 Spectral Spatial Class cation of Hyperspectral Imagery Based on Partition Clustering Techniques Yulia Parabola,
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What is spectral spatial classification of?
Spectral spatial classification refers to the process of categorizing and analyzing remote sensing data based on both spectral and spatial characteristics.
Who is required to file spectral spatial classification of?
Individuals or organizations involved in remote sensing or data analysis may be required to file spectral spatial classification reports.
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Filling out spectral spatial classification involves analyzing remote sensing data, identifying spectral and spatial features, and categorizing the data according to these characteristics.
What is the purpose of spectral spatial classification of?
The purpose of spectral spatial classification is to enhance the understanding and interpretation of remote sensing data by organizing it into meaningful categories based on spectral and spatial information.
What information must be reported on spectral spatial classification of?
The spectral spatial classification report should include details about the analyzed remote sensing data, identified spectral and spatial features, and the categorization method used.
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