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Improving local adaptive filtering method employed in radiometric correction of analogue airborne campaigns / Lâmân Lelégard (2022)  

Public Titre : Improving local adaptive filtering method employed in radiometric correction of analogue airborne campaigns Type de document : Article/Communication Auteurs : Lâmân Lelégard , Auteur ; Arnaud Le Bris , Auteur ; Sébastien Giordano , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2022 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B3 Projets : HIATUS / Giordano, Sébastien Conférence : ISPRS 2022, Commission 3, 24th ISPRS Congress, Imaging today, foreseeing tomorrow 06/06/2022 11/06/2022 Nice France OA ISPRS Archives Importance : pp 1217 - 1222 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse en composantes principales [Termes IGN] contraste local [Termes IGN] correction radiométrique [Termes IGN] fenêtre (informatique) [Termes IGN] filtre de Wallis [Termes IGN] morphologie mathématique Résumé : (auteur) An orthophotomosaic is as a single image that can be layered on a map. It is produced from a set of aerial images impaired by radiometric inhomogeneity mostly due to atmospheric phenomena, like hotspot, haze or high altitude clouds shadows as well as the camera itself, like lens vignetting. These create some unsightly radiometric inhomogeneity in the mosaic that could be corrected by using a local adaptive filter, also named Wallis filter. Yet this solution leads to a significant loss of contrast at small scales. This current work introduces two elementary studies. In a first time, in order to quantify the loss of contrast due to the use of Wallis filter, a simple multi-scale score is proposed based on mathematical morphology operations. In a second time, an optimal window size for the filter is identified by considering some systematic radiometric behaviours in the images forming the mosaic through Principal Component Analysis (PCA). These two elementary studies are preliminary steps leading to a method of radiometric correction combining Wallis filtering and PCA. Numéro de notice : C2022-015 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B3-2022-1217-2022 Date de publication en ligne : 31/05/2022 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1217-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100841

An adaptive stochastic model for GPS observations and its performance in precise point positioning / J. Z. Zheng in Survey review, vol 48 n° 349 (July 2016)  

Public [article]  inSurvey review > vol 48 n° 349 (July 2016) . - pp 296 - 302 Titre : An adaptive stochastic model for GPS observations and its performance in precise point positioning Type de document : Article/Communication Auteurs : J. Z. Zheng, Auteur ; F. Guo, Auteur Année de publication : 2016 Article en page(s) : pp 296 - 302 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] bruit (théorie du signal) [Termes IGN] correction ionosphérique [Termes IGN] fenêtre (informatique) [Termes IGN] mesurage de pseudo-distance [Termes IGN] modèle stochastique [Termes IGN] positionnement par GPS [Termes IGN] récepteur GPS [Termes IGN] temps réel Résumé : (auteur) In this paper, the stochastic characteristics of Global Positioning System (GPS) pseudo-range noise as influenced by several factors such as receiver type, frequency, and ionosphere environment are analysed. The results indicate that the noise level of GPS observations is significantly affected by these factors. Moreover, the noise level is so mutable that it cannot be generalised and described by a uniform empirical model. Even for the same satellite, the noise level of observations may fluctuate sharply in both spatial and temporal resolution. To establish a reasonable stochastic model, a recursive sliding window method for estimating pseudo-range noise in real time is introduced. The effectiveness of the proposed method is verified by specific computational examples. Numéro de notice : A2016-626 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270615Y.0000000033 En ligne : https://doi.org/10.1179/1752270615Y.0000000033 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81842 [article]

Time-reversal-based multipath mitigation technique for ISAR images / Imanol Arriba-Ruiz in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3119 - 3138 Titre : Time-reversal-based multipath mitigation technique for ISAR images Type de document : Article/Communication Auteurs : Imanol Arriba-Ruiz, Auteur ; Félix Pérez-Martinez, Auteur ; José Munoz-Ferreras, Auteur Année de publication : 2013 Article en page(s) : pp 3119 - 3138 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] artefact [Termes IGN] correction du trajet multiple [Termes IGN] fenêtre (informatique) [Termes IGN] fouillis d'échos [Termes IGN] image ISAR [Termes IGN] radar à antenne synthétique inverse [Termes IGN] trajet multiple Résumé : (Auteur) Inverse synthetic aperture radar (ISAR) is a coherent high-resolution radar technique capable of providing range-Doppler images of non-cooperative targets. Conventional ISAR systems just consider a single reflection of transmitted waveforms from targets. Nevertheless, today's new applications force ISAR systems to work in much more complex scenarios such as urban environments. Consequently, multiple-bounce returns are additionally superposed to direct-scatter echoes. We refer to these as ghost images, since they obscure true target image and lead to poor visual quality, making target detection particularly difficult. By applying time reversal concept to ISAR imaging, it is possible to reduce considerably (or even mitigate) ghosting artifacts, recovering the lost quality due to multipath effects. Nevertheless, before applying this innovative technique, it is essential to estimate the distance between radar and target for each transmitted ramp and for each target scatterer. To that end, a pre-processing algorithm based on detecting the prominent points of a conventional ISAR image corrupted by multipath, followed by a windowing process, is used. Both simulated and real data are used to verify the proposed method. Numéro de notice : A2013-273 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2217500 En ligne : https://doi.org/10.1109/TGRS.2012.2217500 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32411 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013051B	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Reducing edge effects in the classification of high resolution imagery / Guiyun Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 4 (April 2008) . - pp 431 - 441 Titre : Reducing edge effects in the classification of high resolution imagery Type de document : Article/Communication Auteurs : Guiyun Zhou, Auteur ; Nina S.-N. Lam, Auteur Année de publication : 2008 Article en page(s) : pp 431 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse texturale [Termes IGN] contour [Termes IGN] fenêtre (informatique) [Termes IGN] image à haute résolution [Termes IGN] polygone [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) Edge effects have been a problem in image classification especially when scale-based textural methods were included in the classification process. This paper proposes a new approach to reducing edge effects. The essence of the new approach is that all pixels in a moving window make use of the textural information instead of only the center pixel as in the traditional moving window method. The performance of the new approach was tested in three classification scenarios. The results show that the new approach generally produced higher accuracy with larger window size and was much less affected by the edge issues than the traditional moving window method. The new approach yields satisfactory results as long as the window size is smaller than the land-use polygons and the class boundaries are not too complex. Copyright ASPRS Numéro de notice : A2008-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.4.431 En ligne : https://doi.org/10.14358/PERS.74.4.431 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29117 [article]

Determination of optimum window size for SAR image co-registration with decomposition of auto-correlation / W. Zou in Photogrammetric record, vol 22 n° 119 (September - November 2007)  

Public [article]  inPhotogrammetric record > vol 22 n° 119 (September - November 2007) . - pp 238 - 256 Titre : Determination of optimum window size for SAR image co-registration with decomposition of auto-correlation Type de document : Article/Communication Auteurs : W. Zou, Auteur ; Z. Li, Auteur ; X. Ding, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 256 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] appariement d'images [Termes IGN] autocorrélation [Termes IGN] déformation de la croute terrestre [Termes IGN] fenêtre (informatique) [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] modèle numérique de terrain [Termes IGN] points homologues [Termes IGN] transformation en ondelettes Résumé : (Auteur) Interferometric synthetic aperture radar (InSAR) is a promising recent technique for the generation of digital elevation models and/or the measurement of ground surface deformations. In InSAR data processing, the first step is the image co-registration, achieved by using a set of tie points which are the conjugate image points on the master and slave images. Tie points are selected with the aim of finding the conjugate point automatically on the slave image for any given point on the master image, by the process known as image matching. To achieve reliable matching, a set of points within a window is used instead of a single point. The size of the window will affect the reliability of matching. Hitherto there have been no effective methods for the determination of optimum window size for this purpose. In practice, this parameter is determined by experience. In this paper, a pair of SAR images is used to test the effect of window size on the reliability of co-registration. An optimum window size is selected on the basis of the experimental results. The determination of optimum window size for tie point matching is then examined theoretically, leading to a proposal for an automated method based on the auto-correlation of the SAR images, which reflects the similarity between image pixels. The auto-correlation function is decomposed into waves of various frequencies by a wavelet transform. By a combined analysis of the variations of wave amplitudes with frequency, the optimum window size for tie point matching can be determined. A procedure based on the use of Daubechies wavelet db1 is proposed in detail. An optimum window size could be determined in this way for any pair of SAR images. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2007-481 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2007.00443.x En ligne : https://doi.org/10.1111/j.1477-9730.2007.00443.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28844 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-07031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A layered stereo matching algorithm using segmentation and global visibility constraints / M. Bleyer in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)  

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Analyse descriptive multi-échelle de la structure d'un paysage : application à la mosaïque d'occupation du sol d'un territoire agricole dans le bocage breton / Nicolas Schermann in Revue internationale de géomatique, vol 12 n° 2 (juin - août 2002)  

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Mise en correspondance stéréo par fenêtres adaptatives en imagerie aérienne haute résolution / Jean-Luc Lotti (1996)

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Towards a local split window method over land surface / François Becker in International Journal of Remote Sensing IJRS, vol 11 n° 3 (March 1990)  

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