GB/T 42650-2023
Lossless and near-lossless compression of multispectral and hyperspectral images in spatial data and information transmission systems (English Version)

Standard No.
GB/T 42650-2023
Language
Chinese, Available in English version
Release Date
2023
Published By
General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China
Latest
GB/T 42650-2023
Introduction
GB/T 42650-2023 Space Data and Information Transmission System - Lossless and Near-lossless Compression of Multispectral and Hyperspectral Images is a national standard in China that provides guidelines for the compression of multispectral and hyperspectral images in space data and information transmission systems. This standard aims to achieve efficient compression of these images while minimizing the loss of information. It addresses various aspects of compression, including coding methods, compression ratios, and image quality assessment. The standard specifies the requirements for lossless and near-lossless compression algorithms, including the compression ratio, computational complexity, and image quality evaluation criteria. It also provides guidelines for the selection and application of these algorithms in different scenarios. Adopting this standard ensures the effective and reliable transmission of multispectral and hyperspectral images, enabling efficient data storage and transmission in space data and information systems. It promotes the development of space technology and enhances the quality and accuracy of image compression in various applications, such as remote sensing, environmental monitoring, and geological exploration. Overall, GB/T 42650-2023 plays a crucial role in the standardization and advancement of compression techniques for multispectral and hyperspectral images, contributing to the overall improvement of space data and information transmission systems.

GB/T 42650-2023 history

  • 2023 GB/T 42650-2023 Lossless and near-lossless compression of multispectral and hyperspectral images in spatial data and information transmission systems



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