Indian Pines is a Hyperspectral image segmentation dataset. The input data consists of hyperspectral bands over a single landscape in Indiana, US, (Indian Pines data set) with 145×145 pixels. For each pixel, the data set contains 220 spectral reflectance bands which represent different portions of the electromagnetic spectrum in the wavelength range 0.4−2.5⋅10−6.
Source: Layer-Parallel Training of Deep Residual Neural NetworksBenchmarks
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Indian Pines
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RPNet-RF
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Indian Pines
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Deep HS
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Papers
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