ÇѱÛÁ¦¸ñ(Korean Title) |
Google Earth¿¡¼ µµ·Î ÃßÃâÀ» À§ÇÑ RGB ȼҰª ÃÖÀû±¸°£ ÃßÀû |
¿µ¹®Á¦¸ñ(English Title) |
Exploring Optimal Threshold of RGB Pixel Values to Extract Road Features from Google Earth |
ÀúÀÚ(Author) |
¹ÚÀ翵
¾öÁ¤¼·
Jae Young Park
Jung-Sup Um
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 12 NO. 01 PP. 0066 ~ 0075 (2010. 03) |
Çѱ۳»¿ë (Korean Abstract) |
Ç×°ø»çÁøÀ̳ª ´ÙÁߺб¤¿µ»óÀ» È°¿ëÇÏ¿© µµ·Î Áöµµ¸¦ Á¦ÀÛÇÒ °æ¿ì ÃÖ±Ù¿¡ °Ç¼³µÈ µµ·Î¿¡ ´ëÇÑ ÁöµµÀÇ ¾÷µ¥ÀÌÆ®°¡ ³Ê¹« ´Ê¾î ÀÏ¹Ý ¼ö¿äÀÚÀÇ ¼öÁØÀ» °í·ÁÇÑ ¼ºñ½º¸¦ Á¦°øÇÏÁö ¸øÇÏ´Â ÇÑ°è°¡ ÀÖ´Ù. Google Earth¿¡¼´Â RGB°ª¿¡ ÀÇ°ÅÇÑ À̹ÌÁö°¡ ¾ÆÁÖ ³ôÀº ÁÖ±â Çػ󵵸¦ °¡Áö°í ¹«·á·Î Á¦°øµÇ°í Àֱ⠶§¹®¿¡ µµ·Î¸¦ ÃßÃâÇϱâ ÁÖ¿ä µ¥ÀÌÅÍ·Î ºÎ»óµÇ°í ÀÖ´Ù. º» ¿¬±¸´Â Google Earth·Î µµ·Î¸¦ ÃßÃâÇϱâ À§ÇÑ ÃÖÀûÀÇ RGB Ç¥ÁØ°ª°ú ¹üÀ§°ªÀ» ÃßÀûÇÏ´Â Àǵµ·Î Ãâ¹ßÇÏ¿´´Ù. 5°³ÀÇ »ç·Ê¿¬±¸Áö¿ª¿¡ ´ëÇØ Google Earth RGB ¿µ»óÀ» È°¿ëÇÏ¿© µµ·Î¸¦ ÃßÃâÇÒ ¼ö ÀÖ´Â ´É·Â¿¡ ´ëÇØ °ËÁõÀÌ ÀÌ·ç¾îÁ³´Ù. ¼öµ¿ °ËÃâÀ» ÅëÇØ Google Earth À̹ÌÁö¿¡¼ RGB ´ëÇ©°ªÀ» °¢°¢ 126, 125, 127À» µµÃâÇÏ¿´°í, µµ·ÎÀÇ Æ¯¼ºÀ» °¨¾ÈÇÑ ´ëÇ©°ª ¹üÀ§¸¦ ºÐ¼®ÇÏ¿© RGB°ª °¢ 25%, 30%, 19%°¡ ÃÖÀûÀÎ °ÍÀ» ¾Ë ¼ö ÀÖ¾ú´Ù. ¾Æ¿ï·¯ Google Earth À̹ÌÁöÀÇ µð½ºÇ÷¹ÀÌ Ãàô°£¿¡ RGB Ç¥ÁØ°ª°ú ¹üÀ§°ªÀÌ Å« Â÷ÀÌ°¡ ¾øÀ½À» È®ÀÎÇÒ ¼öµµ ÀÖ¾ú´Ù. ±âÁ¸¿¬±¸¿¡¼ È°¿ëµÈ ´Ù¾çÇÑ ¾Ë°í¸®ÁòÀÌ RGB ȼҰªÀÇ ÃÖÀû±¸°£À» ÃßÀûÇÒ ¼ö ÀÖ¾úÀ¸¸ç 61cm °ø°£Çػ󵵸¦ °¡Áø Quickbird RGB µ¥ÀÌÅÍ°¡ ´Ù¾çÇÑ ÇüÅÂÀÇ µµ·Î¸¦ ÃßÃâÇÒ ¼ö ÀÖ´Ù´Â °ÍÀÌ È®ÀεǾú´Ù. |
¿µ¹®³»¿ë (English Abstract) |
The authors argues that the current road updating system based on traditional aerial photograph or multi-spectral satellite image appears to be non-user friendly due to lack of the frequent cartographic representation for the new construction sites. Google Earth are currently being emerged as one of important places to extract road features since the RGB satellite image with high multi-temporal resolution can be accessed freely over large areas. This paper is primarily intended to evaluate optimal threshold of RGB pixel values to extract road features from Google Earth. An empirical study for five experimental sites was conducted to confirm how a RGB picture provided Google Earth can be used to extact the road feature. The results indicate that optimal threshold of RGB pixel values to extract road features was identified as 126, 125, 127 for manual operation which corresponds to 25%, 30%, 19%. Also, it was found that display scale difference of Google Earth was not very influential in tracking required RGB pixel value. As a result the 61cm resolution of Quickbird RGB data has shown the potential to realistically identified the major type of road feature by large scale spatial precision while the typical algorithm revealed successfully the area-wide optimal threshold of RGB pixel for road appeared in the study area. |
Å°¿öµå(Keyword) |
Google Earth
µµ·Î
RGB data
Çȼ¿
Road
Pixel
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ÆÄÀÏ÷ºÎ |
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