Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes a simple pushbroom camera model for Earth observation satellites and proposes a new algorithm to rene the orientation parameters of a camera from a set of ground control points. The relative importance of the various orientation parameters is analyzed. On the last generation of high resolution satellites such as Pl eiades and WorldView, the attitude angles are shown to be the main contributors to localization errors. Thus the proposed algorithm focuses on rening the attitude angles. It is based on a simple polynomial tting method. Numerous experiments, which can be reproduced through the online demo associated to this paper, show that the proposed algorithm is able to reduce the localization error by one order of magnitude with only a few ground control points. A geometric simulator for the proposed model is implemented, as ll as the attitude renement algorithm.
['Carlo de Franchis', 'Enric Meinhardt-Llopis', 'D. Greslou', 'Gabriele Facciolo']
I am writing a research paper on a idea Attitude Refinement for Orbiting Pushbroom Cameras: a Simple Polynomial Fitting Method
[{"from": "human", "value": "I am writing a research paper on a idea Attitude Refinement for Orbiting Pushbroom Cameras: a Simple Polynomial Fitting Method"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes a simple pushbroom camera model for Earth observation satellites and proposes a new algorithm to rene the orientation parameters of a camera from a set of ground control points. The relative importance of the various orientation parameters is analyzed. On the last generation of high resolution satellites such as Pl eiades and WorldView, the attitude angles are shown to be the main contributors to localization errors. Thus the proposed algorithm focuses on rening the attitude angles. It is based on a simple polynomial tting method. Numerous experiments, which can be reproduced through the online demo associated to this paper, show that the proposed algorithm is able to reduce the localization error by one order of magnitude with only a few ground control points. A geometric simulator for the proposed model is implemented, as ll as the attitude renement algorithm."}]