DocumentCode :
3318617
Title :
Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China
Author :
Jia, Peng ; Nie, Yueping ; Yang, Lin
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
3898
Lastpage :
3901
Abstract :
The 3rd National Cultural Relics General Survey in Hainan Province was started in early 2008. As the advanced technological method, remote sensing was introduced to support the survey because of the inaccessibility of tropical forests. We collected Landsat images, ALOS images and black-and-white aerial photos and corrected them all. Based on the common principle of remote sensing in archaeology, we analyzed two factors: sunshine and nutrient; then we got the special principle in tropical vegetation regions. In the end, we chose Qiongshanjiuzhou, Zhuyaling, Dayapo and Nanjianzhou Ancient City as typical examples to demonstrate the important roles remote sensing played in recognizing the border of ancient city sites and calculated the perimeter and area of each ancient city site.
Keywords :
archaeology; forestry; image recognition; remote sensing; vegetation; 3rd National Cultural Relics General Survey; ALOS images; China; Dayapo; Hainan Province; Landsat images; Nanjianzhou; Qiongshanjiuzhou; Zhuyaling; ancient site extraction; ancient site recognition; archaeology; black-and-white aerial photos; remote sensing; thick vegetation; tropical forests; tropical vegetation regions; Cities and towns; Cultural differences; Geographic Information Systems; History; Remote sensing; Software algorithms; Vegetation mapping; Ancient City Site; Hainan; Remote Sensing in Archaeology; Thick Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650602
Filename :
5650602
Link To Document :
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