Laser Spot Center Location Method for Chinese Spaceborne GF-7 Footprint Camera
Autor: | Xiaodong Zhi, Shuai Yang, Chaofeng Ren, Yun Yang, Junfeng Xie |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Brightness
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION satellite laser altimeter 02 engineering and technology 010502 geochemistry & geophysics lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry law.invention Footprint (electronics) 020210 optoelectronics & photonics law 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 spot center extraction Electrical and Electronic Engineering Instrumentation 0105 earth and related environmental sciences Remote sensing Pixel Template matching Laser Atomic and Molecular Physics and Optics footprint camera GF-7 satellite gaussian fitting |
Zdroj: | Sensors Volume 20 Issue 8 Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 2319, p 2319 (2020) |
ISSN: | 1424-8220 |
DOI: | 10.3390/s20082319 |
Popis: | The Gaofen-7 (GF-7) satellite is equipped with two area array sensor footprint cameras to capture the laser altimeter spot. In order to establish a direct correspondence between the laser data and the stereo image data, a new method is proposed to fit the center of the spot using the brightness difference between the spot image and the footprint image. First, the geometric registration between the spot image and the footprint image is completed based on feature matching or template matching. Then, the brightness values between the two images are extracted from the corresponding image position to form a measurement, and the least squares adjustment method is used to calculate the parameters of the brightness conversion model between the spot image and the footprint image. Finally, according to the registration relationship, the center of the identified spots is respectively positioned in the footprint images, so that the laser spots are accurately identified in the along-track stereo footprint images. The experimental results show that the spot error of this method is less than 0.7 pixel, which has higher reliability and stability, and can be used for a GF-7 satellite footprint camera. |
Databáze: | OpenAIRE |
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