Research Article
A New Methodology for Spectral-Spatial Classification of Hyperspectral Images
Algorithm 1
The segmentation of hyperspectral image.
(1) Perform linear contrast stretch algorithm [20] on the hyperspectral image. This | step can ensure the grey value of each hyperspectral band is in 0–255 and | enhance the image quality simultaneously. | (2) Generate a random number that satisfies the uniform distribution. | (3) Select the th band if , where denotes | the cumulate density function of the distribution. | (4) Set and renormalize the distribution. | (5) Repeat Step 2 to Step 4 until three spectral bands have been selected. | (6) Apply SRM to segment the image composed by the selected three spectral bands. |
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