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GB/T 42650-2023: Space data and information transfer systems - Lossless and near-lossless multispectral and hyperspectral image compression
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| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| GB/T 42650-2023 | English | 1159 |
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Space data and information transfer systems - Lossless and near-lossless multispectral and hyperspectral image compression
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GB/T 42650-2023
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Basic data | Standard ID | GB/T 42650-2023 (GB/T42650-2023) | | Description (Translated English) | Space data and information transfer systems - Lossless and near-lossless multispectral and hyperspectral image compression | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | V75 | | Classification of International Standard | 49.140 | | Word Count Estimation | 57,526 | | Date of Issue | 2023-05-23 | | Date of Implementation | 2023-09-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 42650-2023: Space data and information transfer systems - Lossless and near-lossless multispectral and hyperspectral image compression
---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 49:140
CCSV75
National Standards of People's Republic of China
Space Data and Information Transmission System
Lossless and near-lossless compression of multispectral and hyperspectral images
Released on 2023-05-23
2023-09-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Management Committee
table of contents
Preface III
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Symbols and abbreviations1
4:1 Symbol 1
4:2 Abbreviations 3
5 General 3
5:1 Composition and principle of compression system 3
5:2 Compression mode 3
6 image representation 4
6:1 Overview 4
6:2 Dimension 4
6:3 Dynamic range 4
6:4 Sample coordinate index 4
7 Predictor 4
7:1 General 4
7:2 Predicting the number of spectral segments 6
7:3 Full prediction mode and simplified prediction mode 6
7:4 Local and 6
7:5 Local differences 7
7:6 Weighting8
7:7 Predictive Computing 9
7:8 Quantization 10
7:9 Sample representative value 11
7:10 Weighted value update 11
7:11 Mapped Quantization Index 12
8 encoder 12
8:1 Overview 12
8:2 Compressed image data structure 13
8:3 Frame header 13
8:4 Compressed code stream 24
Appendix A (Informative) Partial Symbol Calculation Instructions 31
Appendix B (Informative) Low Entropy Coding Table 32
foreword
This document is in accordance with the provisions of GB/T 1:1-2020 "Guidelines for Standardization Work Part 1: Structure and Drafting Rules for Standardization Documents"
drafting:
This document refers to "ISO 18381:2013 "Lossless compression of multispectral and hyperspectral images in spatial data and information transmission systems""
Grass, the degree of consistency is non-equivalent:
Please note that some contents of this document may refer to patents: The issuing agency of this document assumes no responsibility for identifying these patents:
This document is proposed and managed by the National Aerospace Technology and Its Application Standardization Technical Committee (SAC/TC425):
This document is drafted by: Xi'an Institute of Space Radio Technology, China Aerospace Standardization Institute, Xidian University, 21
Century Space Technology Application Co:, Ltd:, Ningde Standardization Science and Technology Research Institute, Beijing Remote Sensing Equipment Research Institute, China Resources Satellite
Application Center, Beijing Institute of Electronic Engineering, Qingdao Guoce Haiyao Information Technology Co:, Ltd:
The main drafters of this document: Hou Shuwei, Zhang Jianhua, Zhou Yuxia, Li Li, Shao Yingzhao, Zheng Xiaosong, Xing Mengdao, Yuan Suchun, Li Xiaobo, Fang Huoneng,
Wang Qi, Xu Dongyan, Ding Yueli, Wang Yuanle, Zhang Shoujuan, Gou Baowei, Li Hongjuan, Chen Ting, Su Dongwei, Wang Haibo, Lin Ying, Ke Tenglun, Wei Yufei,
Han Zhen:
Space Data and Information Transmission System
Lossless and near-lossless compression of multispectral and hyperspectral images
1 Scope
This document specifies the lossless and near-lossless compression methods for multispectral and hyperspectral images in spatial data and information transmission systems, specifically including compression
General principles of compression, image representation, predictors, encoders, and more:
This document is applicable to the design and application of lossless and near-lossless compression of spacecraft multispectral and hyperspectral images:
2 Normative references
The contents of the following documents constitute the essential provisions of this document through normative references in the text: Among them, dated references
For documents, only the version corresponding to the date applies to this document: For undated reference documents, the latest version (including all amendments) applies to
this document:
GB/T 42041 Terminology for Space Data and Information Transmission in Aerospace
3 Terms and Definitions
The terms and definitions defined in GB/T 42041 apply to this document:
4 Symbols and abbreviations
4:1 Symbols
The following symbols apply to this document:
A*---absolute error limit constant;
az---absolute error limit value;
B--- output word size, in bytes, should be an integer from 1 to 8;
Cz --- the number of local differences used for prediction in the spectral segment z;
D---The dynamic range of the image, represented by the number of bits;
DA---absolute error limit bit depth;
DR---relative error limit bit depth;
dz,y,x,dz(t)---central local difference;
dNz,y,x,dWz,y,x,dNWz,y,x,dNz(t),dWz(t),dNWz(t)---direction local difference;
Fy --- image frame;
J --- block size;
K---initial constant of accumulator;
k'z, k″z---initial parameter of accumulator;
Li --- low entropy coding input symbol limit;
lz(t) --- low entropy encoding input symbols;
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