An accurate geometric correction algorithm of raw ATSR images is propo
sed in this paper, The proposed algorithm is divided into two modules:
pre-correction and precision correction, In the pre-correction algori
thm, the scanning geometry of the ATSR, ephemeris data and the Earth's
shape and rotation were modeled mathematically, It corrected elliptic
ally-distorted raw ATSR images and resulted in a mean collocation erro
r of 1 pixel between the nadir and forward images. The proposed naviga
tion model showed a better geolocation performance than ATSR image geo
metric correction algorithms currently in operation, The geometric err
ors in the pre-corrected images were reduced further by the precision
correction algorithm, Coastlines were detected from the pre-corrected
nadir and forward images and matched with map coastline data. The matc
hed coastline pixels, GCP's, were combined with the pre-correction mod
el to estimate the errors of the position, velocity and attitude of th
e satellite, An extended Kalman filter was used for the optimal estima
tion. The corrected images showed the collocation error of 0.4 pixel a
nd the geolocation error of 0.7 pixel. The results were compared with
those from a polynomial warping technique, It proved that the proposed
precision correction algorithm gave better geometric correction perfo
rmance than collocation algorithms based on a polynomial warping techn
ique.