WHU-OHS: A benchmark dataset for large-scale Hyperspectral Image classification

The WHU-OHS dataset is made up of 42 OHS satellite images acquired from more than 40 different locations in China. The imagery has a spatial resolution of 10 m (nadir) and a swath width of 60 km (nadir). There are 32 spectral channels ranging from the visible to near-infrared range, with an average spectral resolution of 15 nm. We cropped each image into 512 × 512 pixels with a stride of 32. There are 4822, 513, and 2460 sub-images in the training, validation, and test sets, respectively.

For transferability test, we choose eight pairs of OHS images, and each pair contains one source image (S) and one target image (T):

S1: Changchun

T1: Jilin

S2: Wuxi

T2: Shanghai

S3: Guangzhou

T3: Zhongshan

S4: Xining

T4: Lanzhou

S5: Hetian

T5: Kelamayi

S6: Anyi

T6: Nanchang

S7: Changde

T7: Changsha

S8: Tianjin

T8: Tangshan

The 26 OHS images except for the eight pairs:

O1: Baoding

O2: Chongqing

O3: Fujin

O4: Huainan

O5: Huhehaote

O6: Jinzhong

O7: Luliang

O8: Manasi_1

O9: Manasi_2

O10: Nanmulin

O11: Neimenggu

O12: Qingdao

O13: Qinghuangdao

O14: Shawan

O15: Shenyang

O16: Shuozhou

O17: Songpan

O18: Taian

O19: Tongjiang_1

O20: Tongjiang_2

O21: Wuzhong

O22: Xundian

O23: Xuzhou

O24: Yidu

O25: Zangzu

O26: Zhongshan

The image patches have been normalized and scaled by 10000 to reduce storage cost. Divide the pixel values by 10000 and then the image patches can be used directly.