Terrestrial Laser Scanning Data Compression Using JPEG-2000
AbstractThe size of remotely sensed data is constantly growing, which causes problems related to data transfer and archiving. The most common solution of this problem is data compression. This work investigates the feasibility of sensor-level TLS data compression using JPEG-2000 lossless and lossy schemes. TLS data are treated as a multi-band image or a set of images consisting of range, intensity, and optionally RGB bands. The investigation focuses on performance assessment in terms of storage spacesaving, data distortion due to lossy compression, and compression and decompression speed. Experiments executed on real TLS data show that the proposed JPEG-2000 strategy for both lossy and lossless schemes allows to save more storage space than other compression methods. The lossy scheme resulted in the strongest compression and only had insignificant impact on data distortion. Finally, JPEG-2000 compression was identified as the fastest method. It is even suitable for real-time compression atsensor-level.
|Journal series||PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science, [PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science], ISSN 2512-2789, e-ISSN 2512-2819, (0 pkt, indicated Indexes)|
|Publication size in sheets||0.6|
|Keywords in English||Terrestrial laser scanning; Compression JPEG-2000; Performance analysis|
|Internal identifier||64341; PX-5a532fb9d5de6c814ed33de0|
|License||Journal (articles only); published final; ; with publication|
|Score||= 15.0, 21-09-2020, ArticleFromJournal|
|Publication indicators||= 2; = 3; : 2018 = 1.259 (2) - 2018=1.259 (5)|
|Citation count*||4 (2020-09-28)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.