TY  - BOOK
AU  - Ahmed Saad Ismail Kotb
AU  - Hesham A. Hassan , 
AU  - Safaa M. Hassan , 
TI  - Towards an adaptable LiDAR data compression system / 
PY  - 2019///
CY  - Cairo : 
PB  - Ahmed Saad Ismail Kotb , 
KW  - Airborne LiDAR Scanner(ALS)
KW  - Data compression system
KW  - LiDAR systems
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science; Issued also as CD
N2  - Light Detection and Ranging (LiDAR) scanning system is an attractive active remote sensing system that uses a laser beam to obtain precise and directly geo-referenced spatial three-dimensional (3D) data about the shape and surface characteristics of the earth.  LIDAR systems are capable of rapidly collecting a massive amount of spatial data from large geographical areas with high precision and high density within a limited time (i.e., it can collect up to 200,000 points per second). As a result, the obtained datasets can contain billions of points that consume more than a gigabyte per square kilometer (GB/km2). consequently, significant problems had been issued such as high storage capacity, difficult data distribution to the users and huge time-consumed for data processing and display. To overcome these problems, LiDAR data compression has become an important issue for managing, analyzing and using these huge amounts of LiDAR data. Although there are many LiDAR data compression methods, there is no any adaptable compression method can achieve the proper compression efficiency in all cases of the provided data nature
ER  -