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Significance analysis of different types of ancillary geodata utilized in a multisource classification process for forest identification in Germany / Michael Förster in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)
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[article]
Titre : Significance analysis of different types of ancillary geodata utilized in a multisource classification process for forest identification in Germany Type de document : Article/Communication Auteurs : Michael Förster, Auteur ; B. Kleinschmit, Auteur Année de publication : 2014 Article en page(s) : pp 3453 - 3463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image numérique
[Termes IGN] classification floue
[Termes IGN] données multisources
[Termes IGN] forêt
[Termes IGN] image à très haute résolution
[Termes IGN] télédétection spatialeRésumé : (Auteur) Ancillary geodata can supply information to enhance classification accuracy for a variety of remote-sensing applications. To understand the integration of different data into a knowledge-based multisource classification process, this paper evaluates the significance of geodata for the classification accuracy of a very high spatial resolution satellite image for the identification of forest types in Germany. The approach utilizes a fuzzy-logic classifier for the integration of a knowledge base, which combines spectral information with ancillary data layers. The results of the classification were used to test a method for evaluating the influence of the integration of single geodata, the effects on different classes, and the impacts of the applied rules. A microarray significance analysis (MSA) was used to evaluate the significance of the classification results, whereas an ISODATA clustering was utilized for visualizing. A sequence of 50 accuracy assessments of classifications with possible combinations of geodata and rules for the identified classes was derived. The resulting microarray of accuracy percentages of single classes and the overall classification was used for further investigation. The MSA supplies the measure of significance, called relative difference d(i). The MSA identified 11 classifications of positive significance (d(i) greater than 1.44) and three classifications of negative significance (d(i) lower than -2.87). In particular, classifications that contain all rules were rated as positive significant. Numéro de notice : A2014-310 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2273080 En ligne : https://doi.org/10.1109/TGRS.2013.2273080 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33213
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 6 Tome 2 (June 2014) . - pp 3453 - 3463[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014061B RAB Revue Centre de documentation En réserve L003 Disponible Traitement des images satellites avec des logiciels libres / Valerio Baiocchi in Géomatique expert, n° 98 (01/06/2014)
[article]
Titre : Traitement des images satellites avec des logiciels libres Type de document : Article/Communication Auteurs : Valerio Baiocchi, Auteur Année de publication : 2014 Article en page(s) : pp 28 - 30 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] image satellite
[Termes IGN] logiciel libre
[Termes IGN] Orfeo Tool Box
[Termes IGN] QGIS
[Termes IGN] traitement d'imageRésumé : (Auteur) Depuis sa version 2.0, QGis incorpore une bibliothèque " glue " appelée Sextante qui permet d'utiliser, sans quitter le logiciel un nombre de fonctions offertes par des bibliothèques tierces. Parmis elles, l'Orfeo Tool Box, une " boîte à outils " orientée télédétection, qui n'a pas à rougir face aux logiciels commerciaux classiques. Présentation des principales fonctionnalités. Numéro de notice : A2014-199 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33102
in Géomatique expert > n° 98 (01/06/2014) . - pp 28 - 30[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-2014031 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-001585 PER Revue Nogent-sur-Vernisson Salle périodiques Disponible An extended approach for biomass estimation in a mixed vegetation area using ASAR and TM data / Minfeng Xing in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
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Titre : An extended approach for biomass estimation in a mixed vegetation area using ASAR and TM data Type de document : Article/Communication Auteurs : Minfeng Xing, Auteur ; Binbin He, Auteur ; Xingwen Quan, Auteur ; Xiaowen Li, Auteur Année de publication : 2014 Article en page(s) : pp 429 - 438 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse (combustible)
[Termes IGN] image Envisat-ASAR
[Termes IGN] image Landsat-TM
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] végétationRésumé : (Auteur) The use of microwave remote sensing for estimating vegeta-tion biomass is limited in arid regions because of the het-erogeneous distribution of vegetation, variable scattering mechanisms from different vegetation components, and the strong influence from underlying ground surface. In order to minimize this problem, a synergistic method of optical and microwave remote sensing data for the retrieval of aboveg-round biomass (agb) based on the modified water cloud model (WCM) was developed in this paper. Vegetation cover-age which can be easily estimated from optical data as ad-ditional information was combined in this method. Dimidiate pixel model (dpm) and phenological subtraction methodology (psm) were used to estimate vegetation coverage and differen--tiate vegetation types in the sub-pixel domain, respectively. The percentage cover of unmixed vegetation was incorporated to minimize problems associated with heterogeneous vegeta-tion and sparse vegetation cover. Finally, the accuracy and sources of error in this novel AGB retrieval method were evalu-ated. The results showed that the predicted AGB correlated with the measured AGB (R2 = 0.8007; RMSE = 0.2808 kg/m2). Numéro de notice : A2014-241 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.5.429 En ligne : https://doi.org/10.14358/PERS.80.5.429 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33144
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 5 (May 2014) . - pp 429 - 438[article]Hyperspectral image denoising with a spatial–spectral view fusion strategy / Qiangqiang Yuan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
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Titre : Hyperspectral image denoising with a spatial–spectral view fusion strategy Type de document : Article/Communication Auteurs : Qiangqiang Yuan, Auteur ; Liangpei Zhang, Auteur ; Huanfeng Shen, Auteur Année de publication : 2014 Article en page(s) : pp 2314 - 2325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] filtrage du bruit
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image spatialeRésumé : (Auteur) In this paper, we propose a hyperspectral image denoising algorithm with a Spatial-spectral view fusion strategy. The idea is to denoise a noisy hyperspectral 3-D cube using the hyperspectral total variation algorithm, but applied to both the spatial and spectral views. A metric Q-weighted fusion algorithm is then adopted to merge the denoising results of the two views together, so that the denoising result is improved. A number of experiments illustrate that the proposed approach can produce a better denoising result than both the individual spatial and spectral view denoising results. Numéro de notice : A2014-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2259245 Date de publication en ligne : 15/07/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2259245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33162
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2314 - 2325[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtSlow feature analysis for change detection in multispectral imagery / Chen Wu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
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Titre : Slow feature analysis for change detection in multispectral imagery Type de document : Article/Communication Auteurs : Chen Wu, Auteur ; Bo Du, Auteur ; Liangpei Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 2858 - 2874 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de variance
[Termes IGN] détection de changement
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image multitemporelle
[Termes IGN] pixel
[Termes IGN] varianceRésumé : (Auteur) Change detection was one of the earliest and is also one of the most important applications of remote sensing technology. For multispectral images, an effective solution for the change detection problem is to exploit all the available spectral bands to detect the spectral changes. However, in practice, the temporal spectral variance makes it difficult to separate changes and nonchanges. In this paper, we propose a novel slow feature analysis (SFA) algorithm for change detection. Compared with changed pixels, the unchanged ones should be spectrally invariant and varying slowly across the multitemporal images. SFA extracts the most temporally invariant component from the multitemporal images to transform the data into a new feature space. In this feature space, the differences in the unchanged pixels are suppressed so that the changed pixels can be better separated. Three SFA change detection approaches, comprising unsupervised SFA, supervised SFA, and iterative SFA, are constructed. Experiments on two groups of real Enhanced Thematic Mapper data sets show that our proposed method performs better in detecting changes than the other state-of-the-art change detection methods. Numéro de notice : A2014-264 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2266673 En ligne : https://doi.org/10.1109/TGRS.2013.2266673 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33167
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2858 - 2874[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtWetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
PermalinkApport des images Landsat-7 ETM+ à l'étude structurale du socle archéen de Sansmélima (Sud Cameroun) / Joseph Martial Akame in Revue Française de Photogrammétrie et de Télédétection, n° 206 (Avril 2014)
PermalinkGeostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
PermalinkPermalinkTrends in the optical Commercial remote Sensing industry (part 2) / Kumar Navulu in GEO: Geoconnexion international, vol 13 n° 4 (april 2014)
PermalinkAn improved dark object method to retrieve 500 m-resolution AOT (Aerosol Optical Thickness) image from MODIS data: A case study in the Pearl River Delta area, China / Lili Li in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkArchéologie minière et métallurgique en Bolivie : l'apport de l'image satellite aux opérations de prospection en milieu aride / Florian Tereygeol in Photo interprétation, European journal of applied remote sensing, vol 50 n° 1 (mars 2014)
PermalinkAutomated geometric correction of multispectral images from high resolution CCD Camera (HRCC) on-board CBERS-2 and CBERS-2B / Chabitha Devarj in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkEffects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation / Matthew Maimaitiyiming in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkObservation à l'aide des images satellitaires Landsat TM multidates des impacts du transfert de la gestion forestière aux communautés de base : cas de la commune de Didy, région d'Alaotra-Mangoro, Madagascar / Solofoaisoa Rakotoniaina in Photo interprétation, European journal of applied remote sensing, vol 50 n° 1 (mars 2014)
PermalinkA real-time MODIS vegetation product for land surface and numerical weather prediction models / Jonathan L. Case in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)
PermalinkSpatial and spectral image fusion using sparse matrix factorization / Bo Huang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)
PermalinkTrends in the optical commercial remote sensing industry (part 1) / Kumar Navulu in GEO: Geoconnexion international, vol 13 n° 3 (march 2014)
PermalinkCombining RapidEye and lidar satellite imagery for mapping of mining and mine reclamation / Aaron E. Maxwell in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)
PermalinkEnvironmental public health applications using remotely sensed data / Mohammad Z. Al-Hamdan in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
PermalinkEstimation of higher chlorophylla concentrations using field spectral measurement and HJ-1A hyperspectral satellite data in Dianshan Lake, China / Liguo Zhou in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)
PermalinkFunctional relation of land surface albedo with climatological variables: a review on remote sensing techniques and recent research developments / S. A. Salleh in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
PermalinkGeneration and quality assessment of stereo-extracted DSM from Geoeye-1 and Worldview-2 imagery / Manuel Angel Aguilar in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
PermalinkMulti-agent recognition system based on object based image analysis using WorldView-2 / Fatemeh Tabib Mahmoudi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)
PermalinkMultiple-entity based classification of airborne laser scanning data in urban areas / S. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)
PermalinkStatistical data fusion of multi-sensor AOD over the Continental United States / Sweta Jinnagara Puttaswamy in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
PermalinkStudy on the polarimetric characteristics of the Lop Nur arid area using PolSAR data / Zhihong Gao in Journal of applied remote sensing, vol 8 (2014)
PermalinkAgricultural field delimitation using active learning and random forests margin / Karim Ghariani (2014)
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PermalinkAn innovative support vector machine based method for contextual image classification / Rogério Galante Negri in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkApproches multi-hiérarchiques pour l'analyse d'images de télédétection / Camille Kurtz in Revue Française de Photogrammétrie et de Télédétection, n° 205 (Janvier 2014)
PermalinkArea Sampling and Information Systems Applied to Land-Cover and Land-User. Case Study: Post-Communist Romania / Simona Niculescu in Revue Française de Photogrammétrie et de Télédétection, n° 205 (Janvier 2014)
PermalinkAssessment of the image misregistration effects on object-based change detection / Gang Chen in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkCaractérisation et cartographie de la structure forestière à partir d'images satellitaires à très haute résolution spatiale / Benoit Beguet (2014)
PermalinkCombining top-down and bottom-up approaches for building detection in a single very high resolution satellite image / Mahmoud Mohammed Sidi Youssef (2014)
PermalinkPermalinkDétection de bâtiments à partir d’une image satellitaire par combinaison d’approches ascendante et descendante / Mohamed Mahmoud Sidi Yousseff (2014)
PermalinkEarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data / Natalie Robinson in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkEvaluation of MODIS data for improved monitoring of the Caspian Sea / Ayoub Moradi in International Journal of Remote Sensing IJRS, vol 35 n° 16 (January 2014)
PermalinkFast hierarchical segmentation of high-resolution remote sensing images with adaptative edge penalty / Xuellang Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)
PermalinkFrom image to substance / Jérôme Soubirane in GEO: Geoconnexion international, vol 13 n° 1 (january 2014)
PermalinkGénération de modèles numériques de surface et détection de changements 3D à partir d'imagerie satellite stéréoscopique très haute résolution / Cyrielle Guerin (2014)
PermalinkGeospatial analysis of urban landscape patterns in three major cities of Southeast Asia / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 10 (december 2014)
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PermalinkHierarchical extraction of landslides from multiresolution remotely sensed optical images / Camille Kurtz in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkIndividual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery / Yuchu Qin (2014)
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PermalinkIntegrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests / Zakariyyaa Oumar in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
PermalinkMind the gap / Charlotte Gabriel-Robez in GEO: Geoconnexion international, vol 13 n° 1 (january 2014)
PermalinkMise à jour d’une base de données d’occupation du sol à grande échelle en milieux naturels à partir d’une image satellite THR / Adrien Gressin (2014)
PermalinkPermalinkOutils méthodologiques pour l'analyse d'images MSG : estimation du mouvement, suivi des masses nuageuses et détection de fronts / Thomas Corpetti in Revue Française de Photogrammétrie et de Télédétection, n° 205 (Janvier 2014)
PermalinkPatch-based information reconstruction of cloud-contaminated multitemporal images / Chao-Hung Lin in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 1 (January 2014)
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