Quality control methods and framework for in-situ observation data in remote sensing validation
- “A new breakthrough has been made in the field of remote sensing authenticity verification. Experts have conducted in-depth research on the sources of ground observation data errors and established a comprehensive quality control system, providing strong support for improving the accuracy and reliability of remote sensing pixel truth values.”
- Pages: 1-18(2026)
Received:12 March 2025,
Online First:27 February 2026
DOI: 10.11834/jrs.20265086
移动端阅览
