(ghosh) Lsczip — Megha Das

: It is specifically engineered to compress large-scale 3D point cloud data generated by laser scanners.

: The algorithm is designed to handle various attributes associated with LiDAR points, such as coordinates (XYZ), intensity, and return numbers. Megha Das (Ghosh) LSCzip

is a researcher associated with the development and analysis of LSCzip , a specialized lossless compression algorithm designed for Laser Scanning (LiDAR) data . The primary features and characteristics of LSCzip include: : It is specifically engineered to compress large-scale

: It ensures that no data is lost during the compression process, which is critical for high-precision engineering and surveying applications. such as coordinates (XYZ)

: Research papers co-authored by Megha Das (Ghosh) highlight its performance in reducing storage requirements and transmission times for massive spatial datasets compared to standard compression methods.