Chen et al. (2026) A New Image Compensation and Segmentation Algorithm to Retrieve Atmospheric Boundary Layer Height for Lidar RHI 2D Scan

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Ling Chen, Zhibin Yu, Shihai Wang, Chunhui He, Lin Mei, Jianchuan Zheng, Zhangjun Wang, Taofeng Gu, Guoliang Shentu
• DOI: 10.1109/tgrs.2026.3673864

Research Groups

[List the main research groups, labs, or departments involved in the study.]

Short Summary

This paper introduces a new image compensation and segmentation algorithm designed to improve the retrieval of Atmospheric Boundary Layer Height (ABLH) from Lidar Range Height Indicator (RHI) 2D scan data.

Objective

• To develop and apply a novel image compensation and segmentation algorithm for the retrieval of Atmospheric Boundary Layer Height using Lidar RHI 2D scan measurements.

Study Configuration

• Spatial Scale: [Description]
• Temporal Scale: [Description]

Methodology and Data

• Models used: A new image compensation and segmentation algorithm (specific details not provided in the given text).
• Data sources: Lidar RHI 2D scan data.

Main Results

• [Key findings, synthetic and quantitative]

Contributions

• [Original value of the article with respect to existing literature]

Funding

• [List projects, programs, and reference codes that funded this research]

Citation

@article{Chen2026New,
  author = {Chen, Ling and Yu, Zhibin and Wang, Shihai and He, Chunhui and Mei, Lin and Zheng, Jianchuan and Wang, Zhangjun and Gu, Taofeng and Shentu, Guoliang},
  title = {A New Image Compensation and Segmentation Algorithm to Retrieve Atmospheric Boundary Layer Height for Lidar RHI 2D Scan},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3673864},
  url = {https://doi.org/10.1109/tgrs.2026.3673864}
}