header
Image from OpenLibrary

Towards an adaptable LiDAR data compression system / Ahmed Saad Ismail Kotb ; Supervised Hesham A. Hassan , Safaa M. Hassan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Saad Ismail Kotb , 2019Description: 116 Leaves : charts , facsimiles ; 30cmOther title:
  • نحو نظام مكيف لضغط بيانات ماسح الليزر الضوئى [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2019.Ah.T (Browse shelf(Opens below)) Not for loan 01010110080680000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2019.Ah.T (Browse shelf(Opens below)) 80680.CD Not for loan 01020110080680000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science

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

Issued also as CD

There are no comments on this title.

to post a comment.