Pub Date : 2013-08-01DOI: 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":null,"pages":null},"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}
Pub Date : 2013-08-01DOI: 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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 10.1127/1432-8364/2013/0170
M. G. Lenzano
Fil: Lenzano, Maria Gabriela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Cientifico Tecnologico Mendoza. Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales; Argentina
线程:Lenzano, Maria Gabriela。国家科学技术研究委员会。技术科学家门多萨。阿根廷Nivologia、冰川学和环境科学研究所;阿根廷
{"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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 10.1127/1432-8364/2013/0172
H. Truong, Helmi Ben Hmida, F. Boochs, A. Habed, C. Cruz, Y. Voisin, C. Nicolle
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.
{"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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 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":null,"pages":null},"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}
Pub Date : 2013-06-01DOI: 10.1127/1432-8364/2013/0168
Reik Leiterer, W. Mücke, Felix Morsdorf, M. Hollaus, N. Pfeifer, Michael E. Schaepman
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.
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
Pub Date : 2013-05-01DOI: 10.1127/1432-8364/2013/0160
Moritz Menze, Tobias Klinger, Daniel Muhle, J. Metzler, C. Heipke
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
分析(COLLINS et al. 2001)。场景中人们的物体坐标越准确，就可以对运动模式或被跟踪人之间的互动进行更详细的分析。在本文中，我们提出了一种在非拥挤场景中生成一致的全球人员轨迹的方法。轨迹是在一个共同的参考框架中根据多个监控摄像机的观测计算出来的。我们工作中的一个重要步骤是估计身体高度以及在部分重叠视图中可靠的轨迹关联。为此目的，立体分析应用于图像的重叠部分，这些图像是在用几个PTZ凸轮扫描宽区域时随机生成的
{"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":null,"pages":null},"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}
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