T/CARSA 4.2-2026 Remote Sensing Product Algorithm Evaluation Part 2: Index System and Measurement Methods
T/CARSA 4.2-2026 Remote Sensing Product Algorithm Evaluation Part 2: Index System and Measurement Methods
Basic Information
Scope
This document specifies the basic requirements for the construction of an evaluation index system, the index system, and the method of index measurement for remote sensing product algorithms. This document is applicable to the construction of an evaluation index system for remote sensing product production algorithms, and other algorithm evaluations can also refer to it for reference. With the development of remote sensing technology and its widespread application, remote sensing product algorithms are increasingly used in product production. In order to improve the level of remote sensing product production and ensure the efficiency and accuracy of remote sensing product production, it has become an important task for the remote sensing industry to formulate scientific and unified evaluation standards for remote sensing product algorithms. Algorithms are the core of remote sensing products, and a comprehensive evaluation of algorithm performance can help improve algorithm accuracy and product quality. By constructing a comprehensive evaluation system and index measurement methods, standardizing evaluation methods and processes, and enabling remote sensing product evaluators to have a basis for evaluating various remote sensing product algorithms, this can improve the quality and efficiency of evaluations, promote the continuous optimization of remote sensing product algorithms, and better serve remote sensing product production. T/CARSA 4-2006 "Evaluation of Remote Sensing Product Algorithms" aims to establish a universally applicable process and implementation steps for the evaluation of remote sensing product algorithms, and is intended to consist of three parts. — Part 1: Evaluation Process. The purpose is to provide actionable steps and sequences for the evaluation of remote sensing product algorithms. — Part 2: Index System and Index Measurement Methods. The purpose is to construct an evaluation index system and its measurement methods for remote s