The mapping and application of city ortho-image with Multi-mode Airborne Digital Camera

Author

Xue Liu ; Haixia He ; Li Qingting ; Fang Junyong ; Tong Qingxi ; Lanfen Zheng

Author_Institution

State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing

fYear

2009

fDate

20-22 May 2009

Firstpage

1

Lastpage

5

Abstract

Multi-mode Airborne Digital Camera System (MADC) is a novel airborne digital camera developed by Institute of Remote Sensing Applications of Chinese Academy of Sciences. The image acquisition and processing of MADC system and its application in the mapping and application of city ortho-image are introduced in the paper. The Jining city in Shandong province was taken as an example for the application and analysis. Sever primary data processing algorithms correlating of MADC system have been introduced in the paper, mainly involved: the algorithm of camera lens distortion and proofreading method, the algorithm which effects the image because of terrain undulation and the algorithm of ortho-image generation. The work flow is proposed for image processing and ortho-image generation using MADC image data. At the end, some suggestions are put forward for improving the performance of MADC system and increasing its application in city remote sensing.

Keywords

data acquisition; geophysical equipment; geophysics computing; image processing; image sensors; remote sensing; Chinese Academy of Sciences; Institute of Remote Sensing Applications; Jining city; MADC airborne digital camera; Multimode Airborne Digital Camera System; Shandong province; camera lens distortion; city ortho-image application; city ortho-image mapping; data processing algorithms; image acquisition; image processing; ortho-image generation algorithm; proofreading method; terrain undulation; Assembly systems; Charge coupled devices; Cities and towns; Data processing; Digital cameras; Helium; Image processing; Optical sensors; Pixel; Remote sensing; Airborne Remote Sensing; Image Processing; MADC; Ortho-image;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event, 2009 Joint

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3460-2

Electronic_ISBN

978-1-4244-3461-9

Type

conf

DOI

10.1109/URS.2009.5137704

Filename

5137704