Ke‐Sheng Cheng
Papers
1
Total Citations
5
H-Index
1
About
Ke-Sheng Cheng is a leading figure in remote sensing and environmental monitoring, with a primary focus on atmospheric correction and radiometric calibration of satellite imagery. His most cited work introduces a novel path radiance estimation algorithm that leverages reflectance measurements from radiometric control areas (RCAs), offering a significant improvement over traditional methods like dark object subtraction (DOS). By directly using ground-based reflectance data, Cheng’s approach enhances the accuracy of atmospheric correction, a critical step for reliable land surface analysis. Although his top-cited paper has garnered 5 citations, its impact lies in its methodological rigor and practical utility for researchers working with multispectral data. Cheng’s contributions are particularly valuable for applications in vegetation monitoring, land cover classification, and environmental change detection, where precise radiometric correction is essential. His work underscores the importance of integrating field measurements with satellite observations, bridging the gap between ground truth and remote sensing products. For students and researchers, Cheng’s research exemplifies how targeted algorithmic improvements can advance the field of optical remote sensing.
Research Focus
Key Achievements
Top Papers
- 1