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Datasets/Houston

Houston

Hyperspectral imagesImages

Houston is a hyperspectral image classification dataset. The hyperspectral imagery consists of 144 spectral bands in the 380 nm to 1050 nm region and has been calibrated to at-sensor spectral radiance units, SRU = $\mu \text{W} /( \text{cm}^2 \text{ sr nm})$ . The corresponding co-registered DSM consists of elevation in meters above sea level (per the Geoid 2012A model).

Benchmarks

Hyperspectral/Overall Accuracy Hyperspectral/AA@10%perclass Hyperspectral/AA@disjoint Hyperspectral/F1@10%perclass Hyperspectral/Kappa@10%perclass Hyperspectral/Kappa@disjoint Hyperspectral/OA@10%perclass Hyperspectral/OA@15perclass Hyperspectral/OA@disjoint Hyperspectral Image Segmentation/Overall Accuracy Hyperspectral Image Segmentation/AA@10%perclass Hyperspectral Image Segmentation/AA@disjoint Hyperspectral Image Segmentation/F1@10%perclass Hyperspectral Image Segmentation/Kappa@10%perclass Hyperspectral Image Segmentation/Kappa@disjoint Hyperspectral Image Segmentation/OA@10%perclass Hyperspectral Image Segmentation/OA@15perclass Hyperspectral Image Segmentation/OA@disjoint Image Classification/Overall Accuracy Image Classification/AA@10%perclass Image Classification/AA@disjoint Image Classification/F1@10%perclass Image Classification/Kappa@10%perclass Image Classification/Kappa@disjoint Image Classification/OA@10%perclass Image Classification/OA@15perclass Image Classification/OA@disjoint

Statistics

Papers: 7
Benchmarks: 27

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Tasks

Hyperspectral Hyperspectral Image Classification Hyperspectral Image Segmentation Image Classification