Abstract

Remote sensing digital image mosaic refers to the splicing of two or more remote sensing images into a panoramic image to meet the application requirements of wide images. It is becoming more and more important to cover large areas of mosaic images. The data pre-processing and mosaic process are different for different images. In this paper, the declassified intelligence satellite photography (DISP) in the 1960s was used as experimental data, taking Qujing in Yunnan Province as an example, a total of 92 scene images were used for DISP image processing and seamless mosaic. Firstly, In order to make full use of the image, it is necessary to perform orthorectification on the KH-4B images covering Qujing. Considering that the satellite orbit parameters and other parameters are unknown, several models for orthorectification of satellite images are proposed. After experiments and analysis, it is concluded that the third order polynomial is the optimal. Secondly, given the problem of radiation imbalance caused by the difference of time phase, the histogram equalization method is used for color balance, the image of the seam line is eliminated. Finally, the seamless mosaic is achieved. The map of the 1960s DISP in Qujing is obtained. The map can provide material basis for future research and other fields. The processing methods of historical images can be used for reference by others.

Details

Title
BLOCK ORTHORECTIFICATION AND MOSAIC OF 1960s DISP IMAGES IN QUJING, YUNNAN
Author
Peng, X Y 1 ; Zhou, G Q 1 ; Yan, H B 1 ; Yue, T 1 ; Liu, J 2 ; Mu, Y X 1 

 Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, No. 12 Jian’gan Road, Guilin, Guangxi 541004, China 
 College of Earth Science, Guilin University of Technology, No. 12 Jian’gan Road, Guilin, Guangxi, 541004, China 
Pages
635-639
Publication year
2020
Publication date
2020
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
ProQuest document ID
2352200659
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.