HNU-HMiF: A UAV-Borne Dataset for Hyperspectral and Multispectral Image Fusion

Fusion of hyperspectral images (HSIs) and multispectral images (MSIs) with different resolutions is an active research topic in the field of remote sensing. However, HSI-MSI fusion assessments in existing researches are basically conducted on simulated data gone through spectral or spatial downsampling, which cannot reflect the actual performances of fusion methods in application scenarios. To conquer this problem, a new remote sensing dataset- Hunan UAV-borne HSIs and MSIs fusion(HNU-HMiF) dataset is provided in this paper. The proposed dataset contains fine registered hyperspectral and multispectral image pairs captured by unmanned aerial vehicle (UAV) covering different ground objects, and can be used to evaluate, select, and even develop fusion methods for users or researchers. Successful applications including method evaluation and comparison confirm the validity and reliability of the proposed dataset.