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Borgetto, Manon. |
In the underwater environment, an image mosaic allows to obtain a panoramic view of a site of interest. The image sequence, used to create such mosaic, is acquired by a moving vehicle. The vehicle trajectory is estimated by a simple speed vector integration. As a consequence, a drift appears. This is directly palpable on the mosaic, especially when the vehicle crosses its own trajectory (at "rendezvous" times). This work consists in estimating as precisely as possible, the trajectory from angle and speed measurements, by taking into account the rendezvous times. First, the couples of rendezvous times are detected, then they are introduced in the vehicle localization algorithm. Second, the mosaic is created from these estimated positions. The proposed... |
Tipo: Text |
Palavras-chave: Enhancement; Warping; Fusion; Motion estimation; Gyro doppler system; Position estimation; Underwater image; Mosaic; Localization; Amélioration; Déformation; Fusion; Estimation du mouvement; Estimation de position; Mise en correspondance; Système gyro doppler; Image sous marine; Mosaïque; Localisation. |
Ano: 2005 |
URL: http://archimer.ifremer.fr/doc/2005/these-355.pdf |
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Peschoud, Cecile; Minghelli, Audrey; Mathieu, Sandrine; Lei, Manchun; Pairaud, Ivane; Pinazo, Christel. |
Open ocean and coastal area monitoring requires multispectral satellite images with a middle spatial resolution ({\sim !300 {text{m}}}) and a high temporal repeatability ({\sim !1 {text{h}}}) . As no current satellite sensors have such features, the aim of this study is to propose a fusion method to merge images delivered by a low earth orbit (LEO) sensor with images delivered by a geostationary earth orbit (GEO) sensor. This fusion method, called spatial spectral temporal fusion (SSTF), is applied to the future sensors—Ocean and Land Color Instrument (OLCI) (on Sentinel-3) and Flexible Combined Imager (FCI) (on Meteosat Third Generation) whose images were simulated. The OLCI bands, acquired at t _{0} , are divided by the oversampled corresponding FCI band... |
Tipo: Text |
Palavras-chave: Fusion; Image simulation; Meteosat Third Generation (MTG); Ocean color; Ocean and Land Color Instrument. |
Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00343/45413/49041.pdf |
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