Title
Image Mosaicking Approach for a Double-Camera System in the GaoFen2 Optical Remote Sensing Satellite Based on the Big Virtual Camera.
Abstract
The linear array push broom imaging mode is widely used for high resolution optical satellites (HROS). Using double-cameras attached by a high-rigidity support along with push broom imaging is one method to enlarge the field of view while ensuring high resolution. High accuracy image mosaicking is the key factor of the geometrical quality of complete stitched satellite imagery. This paper proposes a high accuracy image mosaicking approach based on the big virtual camera (BVC) in the double-camera system on the GaoFen2 optical remote sensing satellite (GF2). A big virtual camera can be built according to the rigorous imaging model of a single camera; then, each single image strip obtained by each TDI-CCD detector can be re-projected to the virtual detector of the big virtual camera coordinate system using forward-projection and backward-projection to obtain the corresponding single virtual image. After an on-orbit calibration and relative orientation, the complete final virtual image can be obtained by stitching the single virtual images together based on their coordinate information on the big virtual detector image plane. The paper subtly uses the concept of the big virtual camera to obtain a stitched image and the corresponding high accuracy rational function model (RFM) for concurrent post processing. Experiments verified that the proposed method can achieve seamless mosaicking while maintaining the geometric accuracy.
Year
DOI
Venue
2017
10.3390/s17061441
SENSORS
Keywords
Field
DocType
image mosaicking,double-camera system,big virtual camera,GaoFen2
Coordinate system,Field of view,Image stitching,Computer graphics (images),Remote sensing,Artificial intelligence,Detector,Virtual image,Computer vision,Satellite imagery,Image plane,Engineering,Calibration
Journal
Volume
Issue
Citations 
17
6.0
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Yu-Feng Cheng102.03
shuying jin232.43
mi38830.02
Ying Zhu433.77
Zhipeng Dong584.20