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Distance measure based change detectors for polarimetric SAR imagery / Yonghong Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 9 (September 2016)
[article]
Titre : Distance measure based change detectors for polarimetric SAR imagery Type de document : Article/Communication Auteurs : Yonghong Zhang, Auteur ; Hong'an Wu, Auteur ; Huiqin Wang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 719 - 727 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détecteur
[Termes IGN] détection de changement
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] logarithme
[Termes IGN] mesurage de distances
[Termes IGN] polarimétrie radarRésumé : (Auteur) Change detection based on multi-temporal SAR images is a fundamental process in many practical applications. Popular SAR change detectors include ratio and logarithmic-ratio (log-ratio) operators, and those based on a statistical similarity between temporal images. The ratio and log-ratio operators are not ideal for polarimetric SAR (POLSAR) images, as only the intensity or amplitude information is used. Change detectors based on similarity comparison of probability distribution functions are difficult to implement and not reliable because of the uncertainties in estimating distribution parameters. Our research aims to find a reliable and computationally simple change detector from among three typical polarimetric distance measures. The change detection potential and abilities of these distance measures are analyzed from a mathematical point of view, and then compared through a test dataset composed of two RADARSAT-2 fine-quad polarized images. The symmetric revised Wishart (SRW) distance, originally developed for image segmentation, is found to be an effective change detector. Based on the test data, the change map derived from the SRW distance achieves 93.24 percent change rate and 5.67 percent false alarm rate. Furthermore, the eigendecompostion of the SRW distance is given for the first time, which uncovers the linkage of the SRW distance with the scattering mechanisms and the corresponding amplitudes embedded in two polarimetric covariance matrices, forming a theoretical explanation for the superiority of the SRW distance as a change detector. Our research indicates the general applicability of the SRW distance for POLSAR change detection. Numéro de notice : A2016-742 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.9.719 En ligne : https://doi.org/10.14358/PERS.82.9.719 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82279
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 9 (September 2016) . - pp 719 - 727[article]The impacts of building orientation on polarimetric orientation angle estimation and model-based decomposition for multilook polarimetric SAR data in urban areas / Hongzhong Li in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)
[article]
Titre : The impacts of building orientation on polarimetric orientation angle estimation and model-based decomposition for multilook polarimetric SAR data in urban areas Type de document : Article/Communication Auteurs : Hongzhong Li, Auteur ; Qingquan Li, Auteur ; Guofeng Wu, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 5520 - 5532 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] angle de visée
[Termes IGN] bati
[Termes IGN] données polarimétriques
[Termes IGN] orientation
[Termes IGN] polarimétrie radar
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] zone urbaineRésumé : (Auteur) Building orientation with respect to the radar look direction has a critical influence on the interpretation of multilook polarimetric synthetic aperture radar (PolSAR) data in urban areas. In this paper, its impacts on polarimetric orientation angle (POA) estimation and model-based decomposition are discussed. The discussion begins with the analysis of the general double-bounce scattering model, of which the characteristics are dependent on the electromagnetic and geometric parameters of the related dihedral structure. Then, for multilook PolSAR data, the polarimetric scattering mechanism in urban areas is modeled by two double-bounce scatterings from two orthogonal dihedral structures. From the model, the impacts of the building orientation on POA estimation can be revealed. With the increase of the building orientation, the POA difference between the two dihedral structures increases gradually, and the feasibility to estimate the building orientation via the estimated POA is reduced dramatically. Upon further analysis, we illustrate the impacts on the model-based decomposition. With the increase of the building orientation, the dominant scattering mechanism labeling technique based on the model-based decompositions will gradually become invalid. Moreover, the processing of POA compensation, which is helpful in reducing the impacts of the building orientation, also becomes invalid when the building orientation increases to a certain value. At last, three L-band data sets of San Francisco acquired by AIRSAR are used to verify the inferences. The experimental results show that, for L-band PolSAR data in urban areas, when the radar look angle is around 45, the threshold of building orientation for the validity of dominant scattering mechanism labeling is about ±3, and for the POA compensation, the threshold is about ±12. Numéro de notice : A2016-904 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2567421 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2567421 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83099
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 9 (September 2016) . - pp 5520 - 5532[article]Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data / Lian He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)
[article]
Titre : Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data Type de document : Article/Communication Auteurs : Lian He, Auteur ; Rocco Panciera, Auteur Année de publication : 2016 Article en page(s) : pp 4445 - 4460 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse
[Termes IGN] cultures
[Termes IGN] décomposition d'image
[Termes IGN] données polarimétriques
[Termes IGN] filtre adaptatif
[Termes IGN] humidité du sol
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radarRésumé : (Auteur) The aim of this paper was to estimate soil moisture in agricultural crop fields from fully polarimetric L-band synthetic aperture radar (SAR) data through the polarimetric decomposition of the SAR coherency matrix. A nonnegative-eigenvalue-decomposition scheme, together with an adaptive volume scattering model, is extended to an adaptive model-based decomposition (MBD) (Adaptive MBD) model for soil moisture retrieval. The Adaptive MBD can ensure nonnegative decomposed scattering components and allows two parameters (i.e., the mean orientation angle and a degree of randomness) to be determined to characterize the volume scattering. Its performance was tested using airborne SAR data and coincident ground measurements collected over agricultural fields in southeastern Australia and compared with previous MBD methods (i.e., the Freeman three-component decomposition using the extended Bragg model, the Yamaguchi three-component decomposition, and an iterative generalized hybrid decomposition). The results obtained with the newly proposed decomposition scheme agreed well with expectations based on observed plant structure and biomass levels. The new method was superior in tracking soil moisture dynamics with respect to previous decomposition methods in our study area, with root-mean-square error of soil moisture estimations being 0.10 and 0.14 m3/m3, respectively, for surface and double-bounce components. However, large variability in the achieved soil moisture accuracy was observed, depending on the presence of row structures in the underlying soil surface. Numéro de notice : A2016-884 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2542214 En ligne : https://doi.org/10.1109/TGRS.2016.2542214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83048
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4445 - 4460[article]GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring / Erwan Motte in Sensors, vol 16 n° 5 (May 2016)
[article]
Titre : GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring Type de document : Article/Communication Auteurs : Erwan Motte, Auteur ; Mehrez Zribi, Auteur ; Pascal Fanise, Auteur ; et al., Auteur ; Pierre-Louis Frison , Auteur Année de publication : 2016 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse forestière
[Termes IGN] capteur aérien
[Termes IGN] caractérisation
[Termes IGN] données polarimétriques
[Termes IGN] humidité du sol
[Termes IGN] réflectométrie par GNSS
[Termes IGN] teneur en eau de la végétationRésumé : (auteur) Global Navigation Satellite System-Reflectometry (GNSS-R) has emerged as a remote sensing tool, which is complementary to traditional monostatic radars, for the retrieval of geophysical parameters related to surface properties. In the present paper, we describe a new polarimetric GNSS-R system, referred to as the GLObal navigation satellite system Reflectometry Instrument (GLORI), dedicated to the study of land surfaces (soil moisture, vegetation water content, forest biomass) and inland water bodies. This system was installed as a permanent payload on a French ATR42 research aircraft, from which simultaneous measurements can be carried out using other instruments, when required. Following initial laboratory qualifications, two airborne campaigns involving nine flights were performed in 2014 and 2015 in the Southwest of France, over various types of land cover, including agricultural fields and forests. Some of these flights were made concurrently with in situ ground truth campaigns. Various preliminary applications for the characterisation of agricultural and forest areas are presented. Initial analysis of the data shows that the performance of the GLORI instrument is well within specifications, with a cross-polarization isolation better than −15 dB at all elevations above 45°, a relative polarimetric calibration accuracy better than 0.5 dB, and an apparent reflectivity sensitivity better than −30 dB, thus demonstrating its strong potential for the retrieval of land surface characteristics. Numéro de notice : A2016 Affiliation des auteurs : UPEM-LASTIG+Ext (2016-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s16050732 Date de publication en ligne : 20/05/2016 En ligne : https://doi.org/10.3390/s16050732 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91793
in Sensors > vol 16 n° 5 (May 2016)[article]Compressive sensing for multibaseline polarimetric SAR tomography of forested areas / Xinwu Li in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
[article]
Titre : Compressive sensing for multibaseline polarimetric SAR tomography of forested areas Type de document : Article/Communication Auteurs : Xinwu Li, Auteur ; Lei Liang, Auteur ; Huadong Guo, Auteur ; Yue Huang, Auteur Année de publication : 2016 Article en page(s) : pp 153 - 166 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande P
[Termes IGN] compression d'image
[Termes IGN] décomposition d'image
[Termes IGN] données polarimétriques
[Termes IGN] forêt tropicale
[Termes IGN] Guyane (département français)
[Termes IGN] image aérienne
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] réflectivité
[Termes IGN] tomographie radarRésumé : (Auteur) The structure of forests is an important indicator of ecosystem dynamics and enables the modeling and monitoring of ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of superresolution imaging and a small number of measurements, compressive sensing (CS) inversion techniques for SAR tomography were successfully developed and applied. This paper addresses the 3-D imaging of forested areas based on the framework of CS using fully polarimetric (FP) multibaseline SAR interferometric (MB-InSAR) tomography at P-band. A new CS-based FP MB-InSAR tomography method is proposed: a sum of Kronecker product (SKP) decomposition-based CS FP MB-InSAR tomography method (FP-SKPCS TomoSAR method). The method, based on an assumption that the reflectivity signal of a single scattering mechanism (SM) is more sparse than that of a composite of SMs, recovers the reflectivity profile of different SMs by using the CS technique. This method not only allows superresolution imaging with a low number of acquisitions but also can estimate the polarimetric SM of the vertical structure of forested areas. The effectiveness of these novel techniques for polarimetric SAR tomography is demonstrated using FP P-band airborne data sets acquired by the ONERA SETHI airborne system over a test site in Paracou, French Guiana, and the results of the vertical structure of forested areas derived by the method are verified by in situ test data. Numéro de notice : A2016-076 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2451992 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2451992 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79844
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 153 - 166[article]Réservation
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