Open AccessA SOLUTION TO LOW RFM FITTING PRECISION OF PLANETARY ORBITER IMAGES CAUSED BY EXPOSURE TIME CHANGING
Author(s) -
B. Liu,
Bingyan Xu,
Kaichang Di,
Minghao Jia
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b4-441-2016
Subject(s) - ephemeris , resampling , computer science , orbiter , pixel , residual , digital elevation model , artificial intelligence , scan line , computer vision , image (mathematics) , algorithm , elevation (ballistics) , line (geometry) , remote sensing , mathematics , geometry , geography , physics , satellite , astronomy , grayscale
In this paper, we propose a new solution to the low RFM fitting precision caused by exposure time changing using sensor correction. First, we establish a new rigorous geometric model, with the same ephemerides, attitudes and sensor design parameters of Chang’E-2 and HRSC images, using an equal exposure time of each scan line. The original rigorous geometric model is also established. With a given height, we can establish the correspondence between the two rigorous models. Then we generate a sensor corrected image by resampling the original image using an average elevation or a digital elevation model. We found that the sensor corrected images can be used for topographic mapping which maintains almost the same precision of the original images under certain conditions. And RFM can fit rigorous geometric model of the sensor corrected image very well. Preliminary experimental results show that the RMS residual error of the RFM fitting can reach to 1/100 pixel level too. Using the proposed solution, sensors with changing exposure time can be precisely modelled by the generic RFM.