NWPU Data Set Remote Sensing Image Dataset

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NWPU Dataset is a remote sensing image dataset, among which NWPU-RESISC45 Dataset is an available benchmark for remote sensing image scene classification created by Northwestern Polytechnical University. The dataset contains 31,500 images with a pixel size of 256*256, covering 45 scene categories, with 700 images in each category.

The 45 scene categories include airplane, airport, baseball field, basketball court, beach, bridge, jungle, church, circular farmland, cloud, commercial area, dense residential, desert, forest, highway, golf course, ground track, port, industrial area, intersection, island, lake, grassland, medium-sized residential, mobile home park, mountain, overpass, palace, parking lot, railway, train station, rectangular farmland, river, roundabout, runway, sea, ship, snow mountain, sparse residential, stadium, water tank, tennis court, terrace, thermal power station and wetland.

This dataset was released by Northwestern Polytechnical University. Related papers include:Remote Sensing Image Scene Classification: Benchmark and State of the Art》.