GB/T 36301-2018 in English

1. Background and significance of the standard

GB/T 36301—2018 "Classification of preprocessing products for space hyperspectral imaging data" is an important national standard proposed by the Chinese Academy of Sciences, which aims to standardize the preprocessing process of space hyperspectral imaging data and the classification system of its products. This standard was drafted based on the GB/T 1.1—2009 rules and is applicable to the classification of preprocessing products of imaging spectral data obtained by spaceborne hyperspectral imagers with a working wavelength range of $400\mathrm{nm}{\sim}2500\mathrm{nm}$. The background of its formulation mainly includes:

• Filling the gap in domestic hyperspectral remote sensing data processing standards
• Standardizing the classification framework of aerospace optical remote sensing data products
• Adapting to the needs of large-scale batch processing of computer systems
• Meeting the needs of users in multiple fields for quantitative remote sensing analysis

2. Overview of Hyperspectral Imaging Technology

Aerospace hyperspectral imager is a remote sensor that can simultaneously obtain two-dimensional images and spectral information of the target, and its spectral resolution can reach the order of $10^{-2}\lambda$. According to the different imaging methods, it is mainly divided into two categories: dispersion type and interference type:

• Dispersion type hyperspectral imager: The incident light is dispersed into a continuous spectrum according to the wavelength through a spectrometer
• Interference type hyperspectral imager: The reflection characteristics of the target at different wavelengths are recorded by using the interference principle

3. Preprocessing product classification framework

Aerospace hyperspectral imaging data preprocessing products are divided into 5 levels (L0 to L4), and each level is further subdivided into sub-levels (A, B, C). The following is a comparison table of the core features of each level:

4. Implementation Suggestions and Application Scenarios