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008 200122s2019 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.03.M.Sc.2019.Ah.T
100 0 _aAhmed Saad Ismail Kotb
245 1 0 _aTowards an adaptable LiDAR data compression system /
_cAhmed Saad Ismail Kotb ; Supervised Hesham A. Hassan , Safaa M. Hassan
246 1 5 _aنحو نظام مكيف لضغط بيانات ماسح الليزر الضوئى
260 _aCairo :
_bAhmed Saad Ismail Kotb ,
_c2019
300 _a116 Leaves :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science
520 _aLight 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
530 _aIssued also as CD
653 4 _aAirborne LiDAR Scanner(ALS)
653 4 _aData compression system
653 4 _aLiDAR systems
700 0 _aHesham A. Hassan ,
_eSupervisor
700 0 _aSafaa M. Hassan ,
_eSupervisor
905 _aAsmaa
_eCataloger
905 _aNazla
_eRevisor
942 _2ddc
_cTH
999 _c76439
_d76439