DocumentCode :
1932334
Title :
Analysis of lossless radar images compression for navigation in marine traffic and remote transmission
Author :
Frejlichowski, Dariusz ; Lisaj, Andrzej
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Szczecin Univ. of Technol., Szczecin
fYear :
2008
fDate :
26-30 May 2008
Firstpage :
1
Lastpage :
4
Abstract :
One of the most important issue in maritime international transport is the necessity of increasing the level of safe in vesselpsilas navigation. We can achieve this goal using various methods. One of them is the enlargement and enrichment of navigational data processed by own deck computer net and external systems AIS (Automatic Identification System) and VTS (Vessel Traffic Service). The radar image contains extensive and useful navigational information. That is why the incorporation of it into remote transmission is proposed here. In order to successfully realize this process the enhancement of the NMEA (National Marine Electronics Association) code is proposed through incorporation of radar images into particular protocols. To decrease size of data under transmission a new algorithm, namely RLE-BER (Run Length Encoding with Binary Encoded Runs) for radar images compression is proposed. Some experimental results are presented on real data. The detail description of the method is also provided. The initial results are very promising, as the average compression ratio is near to 5:1 when considering monochrome palette (binary image). The proposed method is lossless, because we assumed the maximum safety level of the final system.
Keywords :
binary codes; data compression; image coding; marine radar; protocols; radar computing; radar imaging; radionavigation; runlength codes; National Marine Electronics Association code; automatic identification system; binary run length encoding; deck computer net; lossless radar image compression analysis; marine traffic; maritime international transport; protocol; remote transmission; vessel navigation; vessel traffic service; Block codes; Computer science; Huffman coding; Image analysis; Image coding; Information analysis; Navigation; Propagation losses; Protocols; Radar imaging; digital radar image; lossless compression; navigational data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2008. RADAR '08. IEEE
Conference_Location :
Rome
ISSN :
1097-5659
Print_ISBN :
978-1-4244-1538-0
Electronic_ISBN :
1097-5659
Type :
conf
DOI :
10.1109/RADAR.2008.4720964
Filename :
4720964
Link To Document :
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