Urban Change Detection of Pingtan City based on Bi-temporal Remote Sensing Images

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Degang, Jiang^1 ; Jinyan, X.U.^1 ; Yikang, G.A.O.^1

Island Research Center, State Oceanic Administration, No.1 Tianmei Road, Pingtan, Fujian

350400, China^1

关键词: Accuracy assessment;    Change detection;    Classification accuracy;    Classification results;    Experimental zone;    Object oriented classification;    Remote sensing images;    Urban change detection;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012056/pdf
DOI  :  10.1088/1755-1315/57/1/012056

来源: IOP

【 摘 要 】

In this paper, a pair of SPOT 5-6 images with the resolution of 0.5m is selected. An object-oriented classification method is used to the two images and five classes of ground features were identified as man-made objects, farmland, forest, waterbody and unutilized land. An auxiliary ASTER GDEM was used to improve the classification accuracy. And the change detection based on the classification results was performed. Accuracy assessment was carried out finally. Consequently, satisfactory results were obtained. The results show that great changes of the Pingtan city have been detected as the expansion of the city area and the intensity increase of man-made buildings, roads and other infrastructures with the establishment of Pingtan comprehensive experimental zone. Wide range of open sea area along the island coast zones has been reclaimed for port and CBDs construction.