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Multi-level self-adaptive individual tree detection for coniferous forest using airborne LiDAR / Zhenyang Hui in International journal of applied Earth observation and geoinformation, vol 114 (November 2022)  

Public [article]  inInternational journal of applied Earth observation and geoinformation > vol 114 (November 2022) . - n° 103028 Titre : Multi-level self-adaptive individual tree detection for coniferous forest using airborne LiDAR Type de document : Article/Communication Auteurs : Zhenyang Hui, Auteur ; Penggen Cheng, Auteur ; Bisheng Yang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 103028 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse de groupement [Termes IGN] classification par nuées dynamiques [Termes IGN] détection automatique [Termes IGN] détection d'arbres [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données matricielles [Termes IGN] modèle numérique de surface de la canopée [Termes IGN] optimisation (mathématiques) [Termes IGN] Pinophyta [Termes IGN] segmentation d'image [Termes IGN] segmentation multi-échelle [Termes IGN] semis de points Résumé : (auteur) To obtain satisfying results of individual tree detection from LiDAR points, parameters using traditional methods usually need to be adjusted by trials and errors. When encountering complex forest environments, the detection accuracy cannot be satisfied. To resolve this, a multi-level self-adaptive individual tree detection method was presented in this paper. The proposed method can be seen as a hybrid model, which combined the strength of both raster-based and point-based methods. Raster-based strategy was first used for achieving initial trees detection results, while the point-based strategy was adopted for optimizing the clustered trees. In the proposed method, crown width scales were estimated automatically. Meanwhile, multi-scales segmented results were fused together to take advantage of segmented results of both larger and small scales. Six different coniferous forests were adopted for testing. Experimental result shows that this study achieved the lowest omission and commission errors comparing with other three classical approaches. Meanwhile, the average F1 score in this paper is 0.84, which is much highest out of other methods. Numéro de notice : A2022-784 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2022.103028 Date de publication en ligne : 24/09/2022 En ligne : https://doi.org/10.1016/j.jag.2022.103028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101887 [article]

Individual tree extraction from UAV lidar point clouds based on self-adaptive mean shift segmentation / Zhenyang Hui in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-1-2021 (July 2021)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol V-1-2021 (July 2021) . - pp 25 - 30 Titre : Individual tree extraction from UAV lidar point clouds based on self-adaptive mean shift segmentation Type de document : Article/Communication Auteurs : Zhenyang Hui, Auteur ; N. Li, Auteur ; Y. Xia, Auteur ; Penggen Cheng, Auteur ; Y. He, Auteur Année de publication : 2021 Conférence : ISPRS 2021, Commission 1, XXIV ISPRS Congress, Imaging today foreseeing tomorrow 05/07/2021 09/07/2021 Nice on-line France OA Annals Commission 1 Article en page(s) : pp 25 - 30 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] algorithme de décalage moyen [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] extraction d'arbres [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] segmentation [Termes IGN] semis de points Résumé : (auteur) Unman aerial vehicle (UAV) LiDAR has been widely used in the field of forestry. Individual tree extraction is a key step for forest inventory. Although many individual tree extraction methods have been proposed, the individual tree extraction accuracy is still low due to the complex forest environments. Moreover, many parameters in these methods generally need to be set. Thus, the degree of automation of the methods is generally low. To solve these problems, this paper proposed an automatic mean shift segmentation method, in which the kernel bandwidths can be calculated self-adaptively. Meanwhile, a hierarchy mean shift segmentation technique was proposed to extract individual tree gradually. A plot-level UAV LiDAR tree dataset was adopted for testing the performance of the proposed method. Experimental results showed that the proposed method can achieve better individual tree extraction result without any parameter setting. Compared with the traditional mean shift segmentation method, both the completeness and mean accuracy of the proposed method are higher. Numéro de notice : A2021-318 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-V-1-2021-25-2021 Date de publication en ligne : 17/06/2021 En ligne : https://doi.org/10.5194/isprs-annals-V-1-2021-25-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97950 [article]

Radarsat-2 data: automated high accuracy geometric correction and mosaicking without ground control points / Penggen Cheng in Geoinformatics, vol 13 n° 5 (01/07/2010)

Public [article]  inGeoinformatics > vol 13 n° 5 (01/07/2010) . - pp 22 - 27 Titre : Radarsat-2 data: automated high accuracy geometric correction and mosaicking without ground control points Type de document : Article/Communication Auteurs : Penggen Cheng, Auteur ; Thierry Toutin , Auteur Année de publication : 2010 Article en page(s) : pp 22 - 27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] géoréférencement direct [Termes IGN] image radar [Termes IGN] image Radarsat [Termes IGN] mosaïquage d'images [Termes IGN] orthoimage [Termes IGN] orthorectification automatique [Termes IGN] point d'appui [Termes IGN] Radarsat Résumé : (Auteur) Imagine a fully automated system used to produce accurate high resolution radar ortho-image and -mosaics all over the world with excellent reliability! Emergency management teams could then have access to highly-accurate radar data as soon as it becomes available for their time-sensitive needs. This was a difficult task, mainly due to the arduous process of collecting ground control points (GCPs). It is now possible with the successful operation of the radarsat-2 satellite and a new 3D hybrid satellite model that process this data without user-collected GCPs. Numéro de notice : A2010-270 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30464 [article]

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262-2010051	SL	Revue	Centre de documentation	Revues en salle	Disponible

Pan-sharpening and geometric correction WorldView-2 satellite / Penggen Cheng in Geoinformatics, vol 13 n° 4 (01/06/2010)

Public [article]  inGeoinformatics > vol 13 n° 4 (01/06/2010) . - pp 30 - 33 Titre : Pan-sharpening and geometric correction WorldView-2 satellite Type de document : Article/Communication Auteurs : Penggen Cheng, Auteur ; C. Chaapel, Auteur Année de publication : 2010 Article en page(s) : pp 30 - 33 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] correction géométrique [Termes IGN] image multibande [Termes IGN] image panchromatique [Termes IGN] image Worldview [Termes IGN] pansharpening (fusion d'images) Résumé : (Editeur) The successful operation of DigitalGlobe WorldView-2 has created another milestone for high-resolution satellites. The high-resolution panchromatic sensor, the four unavailable multispectral bands at 1,8 meter resolution and WorldView-2's advanced geopositional capability have provided a range of benefits to different applications. Copyright GEOinformatics Numéro de notice : A2010-173 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30368 [article]

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262-2010041	SL	Revue	Centre de documentation	Revues en salle	Disponible

Automated high-speed high-accuracy orthorectification and mosaicking: using Rapideye data without ground control / Penggen Cheng in Geoinformatics, vol 12 n° 7 (01/10/2009)

Public [article]  inGeoinformatics > vol 12 n° 7 (01/10/2009) . - pp 36 - 40 Titre : Automated high-speed high-accuracy orthorectification and mosaicking: using Rapideye data without ground control Type de document : Article/Communication Auteurs : Penggen Cheng, Auteur ; J. Sustera, Auteur Année de publication : 2009 Article en page(s) : pp 36 - 40 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] image optique [Termes IGN] image RapidEye [Termes IGN] mosaïquage d'images [Termes IGN] orthorectification automatique [Termes IGN] point d'appui Résumé : (Editeur) A fully automated high-speed system to produce high-accuracy multispectral orthos and mosaics for optical data from all over the world is now possible with the availability of RapidEye satellite data and graphic processing unit processor. Time-sensitive applications, such as agricultural or disaster management, can now access high-accuracy orthos as soon as the data is available. Copyright GEOinformatics Numéro de notice : A2009-433 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30064 [article]

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262-09071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Orthoimage creation of extremely high buildings / Guoqing Zhou in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)  

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Automatic DEM generation: using Worldview-1 stereo data with or without ground control points / Penggen Cheng in Geoinformatics, vol 11 n° 7 (01/11/2008)

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PALSAR data without ground control points / Penggen Cheng in Geoinformatics, vol 10 n° 6 (01/09/2007)

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DEM generation using Quickbird stereo data without ground controls, using tie points only / Penggen Cheng in Geoinformatics, vol 9 n° 2 (01/03/2006)

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Mapping of Quickbird images using the RPC [rational polynomial coefficient] method : improvement in accuracy since release of first Quickbird data / Penggen Cheng in Geoinformatics, vol 8 n° 4 (01/06/2005)

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Epipolar plane image generation from aerial image sequences for 3D urban mapping / Guoqing Zhou in Geomatica, vol 56 n° 4 (December 2002)  

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