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Photogrammetrie Fernerkundung Geoinformation最新文献

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Estimation and Mapping of Carbon Stocks in Riparian Forests by using a Machine Learning Approach with Multiple Geodata Schätzung und Kartierung von Kohlenstoffvorräten in Auwäldern mithilfe eines Ansatzes des maschinellen Lernens und verschiedenartigen Geodaten 从rimer数据库中找到数位计算方法，并利用计算机学习和不同地理数据绘制奥森林碳供给地图
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-08-01 DOI: 10.1127/1432-8364/2013/0181
Leonhard Suchenwirth, Michael Förster, Friederike Lang, Freiburg Birgit Kleinschmit
{"title":"Estimation and Mapping of Carbon Stocks in Riparian Forests by using a Machine Learning Approach with Multiple Geodata Schätzung und Kartierung von Kohlenstoffvorräten in Auwäldern mithilfe eines Ansatzes des maschinellen Lernens und verschiedenartigen Geodaten","authors":"Leonhard Suchenwirth, Michael Förster, Friederike Lang, Freiburg Birgit Kleinschmit","doi":"10.1127/1432-8364/2013/0181","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0181","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"16 1","pages":"333-349"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82604548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Schwerpunktheft zur Photogrammetrie an der Universität Bonn 波恩大学摄影学的舍谱本
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-08-01 DOI: 10.1127/1432-8364/2013/0174
Wolfgang Kresse
{"title":"Schwerpunktheft zur Photogrammetrie an der Universität Bonn","authors":"Wolfgang Kresse","doi":"10.1127/1432-8364/2013/0174","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0174","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"57 1","pages":"249-249"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84602788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessment of using ASTER-derived DTM for glaciological applications in the Central Andes, Mt. Aconcagua, Argentina aster衍生DTM在阿根廷阿空加瓜中部安第斯山脉冰川学应用的评估
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0170
M. G. Lenzano
{"title":"Assessment of using ASTER-derived DTM for glaciological applications in the Central Andes, Mt. Aconcagua, Argentina","authors":"M. G. Lenzano","doi":"10.1127/1432-8364/2013/0170","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0170","url":null,"abstract":"Fil: Lenzano, Maria Gabriela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Cientifico Tecnologico Mendoza. Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales; Argentina","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"68 1","pages":"197-208"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81198444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Object Features for Pixel-based Classi cation of Urban Areas Comparing Different Machine Learning Algorithms Objektmerkmale für die pixelbasierte Klassifizierung urbaner Räume: ein Vergleich von Algorithmen des maschinellen Lernens 以图形为依据的图形调查方法为基础:在城市空间中以色为基础的分类:对机器学习算法的比较
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0166
Nils Wolf
{"title":"Object Features for Pixel-based Classi cation of Urban Areas Comparing Different Machine Learning Algorithms Objektmerkmale für die pixelbasierte Klassifizierung urbaner Räume: ein Vergleich von Algorithmen des maschinellen Lernens","authors":"Nils Wolf","doi":"10.1127/1432-8364/2013/0166","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0166","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"2013 1","pages":"149-161"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83159149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Habitat Mapping from Optical and SAR Satellite Data: Implications of Synergy and Uncertainty for Landscape Analysis Die Habitatkartierung aus Daten optischer und SAR-Satelliten: Synergieeffekte und Unsicherheiten bei der Analyse der Landschaft 利用利用视觉与非大脑卫星数据建立的人居地图:利用视觉与it能力分析的人居地图:利用视觉与it能力的数据建立的人居地图:地理环境分析中的潜在脆弱性和不确定性
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0165
Stefan Erasmi
{"title":"Habitat Mapping from Optical and SAR Satellite Data: Implications of Synergy and Uncertainty for Landscape Analysis Die Habitatkartierung aus Daten optischer und SAR-Satelliten: Synergieeffekte und Unsicherheiten bei der Analyse der Landschaft","authors":"Stefan Erasmi","doi":"10.1127/1432-8364/2013/0165","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0165","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"18 1","pages":"139-148"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82890302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Automatic Detection and Classi cation of Objects in Point Clouds using multi-stage Semantics 基于多阶段语义的点云目标自动检测与分类
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0172
H. Truong, Helmi Ben Hmida, F. Boochs, A. Habed, C. Cruz, Y. Voisin, C. Nicolle
{"title":"Automatic Detection and Classi cation of Objects in Point Clouds using multi-stage Semantics","authors":"H. Truong, Helmi Ben Hmida, F. Boochs, A. Habed, C. Cruz, Y. Voisin, C. Nicolle","doi":"10.1127/1432-8364/2013/0172","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0172","url":null,"abstract":"Due to the increasing availability of large unstructured point clouds from lasers scanning and photogrammetry, there is a growing demand for automatic evaluation methods. Given the complexity of the underlying problems, several new methods resort to using semantic knowledge in particular for object detection and classification support. In this paper, we present a novel approach, which makes use of advanced algorithms, and benefits from intelligent knowledge management strategies for the processing of 3D point clouds and object classification in a scanned scene. In particular, our method extends the use of semantic knowledge to all stages of the processing, including the guidance of the 3D processing algorithms. The complete solution consists of a multi-stage, iterative, concept based on three factors: the modeled knowledge, the package of algorithms, and the classification engine.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"541 1","pages":"221-237"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77917415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Multisensoral, object- and GIS-based classification of grassland habitats in the Bio sphere Reserve Schwäbische Alb Multisensorale, objektbasierte und GIS gestützte Klassifizierung von Grünlandbiotoptypen im Biosphärengebiet Schwäbische Alb 多传感器，根据生物储物储备为斯科比亚山区绿色走廊的目标和地理信息网站而建立的
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0167
P. Schlager, Alfons Krismann, Kathrin Wiedmann, Heiko Hiltscher, Volker Hochschild, K. Schmieder
{"title":"Multisensoral, object- and GIS-based classification of grassland habitats in the Bio sphere Reserve Schwäbische Alb Multisensorale, objektbasierte und GIS gestützte Klassifizierung von Grünlandbiotoptypen im Biosphärengebiet Schwäbische Alb","authors":"P. Schlager, Alfons Krismann, Kathrin Wiedmann, Heiko Hiltscher, Volker Hochschild, K. Schmieder","doi":"10.1127/1432-8364/2013/0167","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0167","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"12 1","pages":"163-172"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78836360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Operational forest structure monitoring using airborne laser scanning Flugzeuggestütztes Laserscanning für ein operationelles Waldstrukturmonitoring 使用机载激光扫描进行森林结构监测
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0168
Reik Leiterer, W. Mücke, Felix Morsdorf, M. Hollaus, N. Pfeifer, Michael E. Schaepman
{"title":"Operational forest structure monitoring using airborne laser scanning Flugzeuggestütztes Laserscanning für ein operationelles Waldstrukturmonitoring","authors":"Reik Leiterer, W. Mücke, Felix Morsdorf, M. Hollaus, N. Pfeifer, Michael E. Schaepman","doi":"10.1127/1432-8364/2013/0168","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0168","url":null,"abstract":"Die Struktur des Waldes hat einen signifikanten Einfluss auf die globalen bio- geochemischen Stoffkreislaufe und kann daruber hinaus als Indikator dienen, um das Potential zum Erhalt der Biodiversitat abzuschatzen und die Widerstandsfahigkeit des Waldes gegen ausere Einflusse zu bestimmen. Flugzeuggestutztes Laserscanning (ALS) bietet hierbei die Moglichkeit einer raumlich hochaufgelosten Erfassung und Beschreibung sowohl der horizontalen als auch der vertikalen Waldstruktur. Wir stellen robuste Verfahren basierend auf flugzeuggestutzten Laserscanningdaten vor, um eine Extraktion von forstwirtschaftlich und -wissenschaftlich relevanten Strukturinformationen zu ermoglichen. Dies beinhaltet: i) die Einzelbaumextraktion, ii) die Bestimmung von Unterwuchs und Bodenbedeckung und iii) die Totholzerkennung. Die Datengrundlage bestand aus multi-temporalen, full-waveform Laserdaten in dichtem Laub- und Mischwald fur Testgebiete in der Schweiz (Lagern) und in Deutschland (Uckermark). Basierend auf der ALS-Punktwolke mit ihren geometrischen Attributen und den zugehorigen full-waveform Eigenschaften wurden folgende Methoden angewendet: i) hierarchisches, 3D-Clustering und die Ableitung von alpha shapes fur die Einzelbaumextraktion, ii) rasterbasierte, vertikale Stratifizierung fur die Charakterisierung von Unterwuchs, und iii) die Kombination aus map algebra und Vektorisierung fur die Totholzanalyse. Die erzielten Genauigkeiten der abgeleiteten Strukturvariablen entsprachen den Anforderungen der traditionellen Forstinventur. Vorbehaltlich der Verfugbarkeit einer entsprechenden Datengrundlage (multi-temporale ALS-Daten mit hohen Punktdichten) ist es mit den vorgestellten robusten Methoden moglich, ein grosflachiges und operationelles Waldstrukturmonitoring durchzufuhren.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"52 1","pages":"173-184"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85786780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Unsupervised Change Detection on SAR images using a New Fractal-Based Measure Zusammenfassung: Unü berwachte Detektion von Verä nderungen in SAR-Bildern mit einem neuen Fraktal-basierten Verä nderungsmaß 但是，根据计算的基本写照，不太可能会变化，以新的分形为基本写照
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-06-01 DOI: 10.1127/1432-8364/2013/0171
Hossein Aghababaee, Jalal Amini, Yu Chang Tzeng, Josaphat Tetuko Sri Sumantyo
{"title":"Unsupervised Change Detection on SAR images using a New Fractal-Based Measure Zusammenfassung: Unü berwachte Detektion von Verä nderungen in SAR-Bildern mit einem neuen Fraktal-basierten Verä nderungsmaß","authors":"Hossein Aghababaee, Jalal Amini, Yu Chang Tzeng, Josaphat Tetuko Sri Sumantyo","doi":"10.1127/1432-8364/2013/0171","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0171","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"27 1","pages":"209-220"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75577514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Stereoscopic Approach for the Association of People Tracks in Video Surveillance Systems 视频监控系统中人员轨迹关联的立体方法
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2013-05-01 DOI: 10.1127/1432-8364/2013/0160
Moritz Menze, Tobias Klinger, Daniel Muhle, J. Metzler, C. Heipke
{"title":"A Stereoscopic Approach for the Association of People Tracks in Video Surveillance Systems","authors":"Moritz Menze, Tobias Klinger, Daniel Muhle, J. Metzler, C. Heipke","doi":"10.1127/1432-8364/2013/0160","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0160","url":null,"abstract":"analyses (COLLINS et al. 2001). The more accurate the object coordinates of people in the scene are known, the more detailed analyses can be conducted with respect to motion patterns or interactions between tracked people. In this paper we present an approach that generates consistent global tracks of people in non-crowded scenarios. The trajectories are calculated in a common reference frame from observations of multiple surveillance cameras. An important step in our work is the estimation of body height as well as a reliable association of tracks across partly overlapping views. For that purpose, stereoscopic analysis is applied to overlapping parts of images which are either generated randomly while scanning wide areas with several PTZ cam","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"14 1","pages":"83-92"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73226464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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