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Article dans une revue ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Année : 2022

L1B+: A Perfect Sensor Localization Model for Simple Satellite Stereo Reconstruction from Push-Frame Image Strips

Résumé

We propose a novel method to generate a single image product from a multi-image strip acquired by a push-frame satellite imaging system. The images of the push-frame strips are combined into a large scale mosaic simulating a perfect sensor geometry. The local camera models of the input images are leveraged to produce a new localization model that covers the output mosaic entirely. Among other applications, this simplifies the task of stereo reconstruction enormously: instead of treating multiple stereo pairs of small images, it is possible to reconstruct the entire area covered by the push-frame acquisition using a single pair of mosaics incorporating all the images. We test our method using strips of SkySat L1B scenes and denote the output images as L1B+. To evaluate the quality of the L1B+ images and their localization models, the stereo reconstructions obtained with L1B+ are compared with those obtained with L1B and with a lidar reference model.
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Dates et versions

hal-03877399, version 1 (29-11-2022)

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Roger Marí, Thibaud Ehret, Jérémy Anger, Carlo de Franchis, Gabriele Facciolo. L1B+: A Perfect Sensor Localization Model for Simple Satellite Stereo Reconstruction from Push-Frame Image Strips. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, V-1-2022, pp.137-143. ⟨10.5194/isprs-annals-V-1-2022-137-2022⟩. ⟨hal-03877399⟩
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