Pub Date : 2014-05-01DOI: 10.1127/1432-8364/2014/0214
Jan Boehm
This work focuses on the performance investigation of consumer 3D sensors with respect to their repeatability and accuracy. It explores currently available sensors based on the 3D sensing technology developed by PrimeSense and introduced to the market in the form of the Microsoft Kinect. Accuracy and repeatability can be crucial criteria for the use of these sensors outside their intended use for home entertainment. The test strategies for the study are motivated by the VDI/VDE 2634 guideline. At the core of the work is the investigation of several units of the Asus Xtion Pro and the PrimeSense Developer Kit and a comparison of their performance. Altogether eighteen sensor units were tested. The results of the proposed test scenario for the sensor units show excellent repeatability at a few millimetres. However, absolute accuracy is worse and can be up to a few centimetres. Sensor performance varies greatly both for sensors of the same manufacturer and in-between manufacturers.
{"title":"Accuracy Investigation for Structured-light Based Consumer 3D Sensors","authors":"Jan Boehm","doi":"10.1127/1432-8364/2014/0214","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0214","url":null,"abstract":"This work focuses on the performance investigation of consumer 3D sensors with respect to their repeatability and accuracy. It explores currently available sensors based on the 3D sensing technology developed by PrimeSense and introduced to the market in the form of the Microsoft Kinect. Accuracy and repeatability can be crucial criteria for the use of these sensors outside their intended use for home entertainment. The test strategies for the study are motivated by the VDI/VDE 2634 guideline. At the core of the work is the investigation of several units of the Asus Xtion Pro and the PrimeSense Developer Kit and a comparison of their performance. Altogether eighteen sensor units were tested. The results of the proposed test scenario for the sensor units show excellent repeatability at a few millimetres. However, absolute accuracy is worse and can be up to a few centimetres. Sensor performance varies greatly both for sensors of the same manufacturer and in-between manufacturers.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85983363","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 : 2014-02-01DOI: 10.1127/1432-8364/2014/0205
P. Ramzi, F. Samadzadegan, P. Reinartz
This paper presents a new multiple classifier system based on AdaBoost to overcome the high dimensionality problem of hyperspectral data. The hyperspectral data are )rst split into a number of band clusters based on the similarities between the contiguous bands, and each band group is considered as an independent data source. The redundant bands in each cluster are then removed using branch and bound technique. Next, a support vector machine (SVM) is applied to each cluster and the outputs are combined using the weights calculated in AdaBoost iterations. Experimental results with AVIRIS and ROSIS datasets clearly demonstrate the superiority of the proposed algorithm in both overall and single class accuracies when compared to other multiple classi)er systems. For AVIRIS data, which contains classes with greater complexity and fewer available training samples, the differences between the overall accuracies of the AdaBoost results are signi)cantly higher compared to those of the other methods, and more pronounced than for the other dataset. In terms of class accuracies, the proposed AdaBoost approach also outperforms other methods in most of the classes.
{"title":"An AdaBoost Ensemble Classifier System for Classifying Hyperspectral Data","authors":"P. Ramzi, F. Samadzadegan, P. Reinartz","doi":"10.1127/1432-8364/2014/0205","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0205","url":null,"abstract":"This paper presents a new multiple \u0000classifier system based on AdaBoost to overcome \u0000the high dimensionality problem of hyperspectral \u0000data. The hyperspectral data are )rst split into a \u0000number of band clusters based on the similarities \u0000between the contiguous bands, and each band \u0000group is considered as an independent data source. \u0000The redundant bands in each cluster are then removed \u0000using branch and bound technique. Next, a \u0000support vector machine (SVM) is applied to each \u0000cluster and the outputs are combined using the \u0000weights calculated in AdaBoost iterations. Experimental \u0000results with AVIRIS and ROSIS datasets \u0000clearly demonstrate the superiority of the proposed \u0000algorithm in both overall and single class accuracies \u0000when compared to other multiple classi)er systems. \u0000For AVIRIS data, which contains classes \u0000with greater complexity and fewer available training \u0000samples, the differences between the overall \u0000accuracies of the AdaBoost results are signi)cantly \u0000higher compared to those of the other methods, and \u0000more pronounced than for the other dataset. In \u0000terms of class accuracies, the proposed AdaBoost \u0000approach also outperforms other methods in most \u0000of the classes.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84394437","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 : 2014-02-01DOI: 10.1127/1432-8364/2014/0206
A. Schlichting, C. Brenner, S. Schön
{"title":"Bewertung von Inertial/GNSS-Modulen mittels Laserscannern und bekannter Landmarken Evaluation of inertial measurement systems using laser scanners and known landmarks","authors":"A. Schlichting, C. Brenner, S. Schön","doi":"10.1127/1432-8364/2014/0206","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0206","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77677718","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 : 2014-02-01DOI: 10.1127/1432-8364/2014/0208
M. Vetter, G. Mandlburger
{"title":"Modification of High Resolution Airborne Laser Scanning DTMs for Drainage Network Delineation","authors":"M. Vetter, G. Mandlburger","doi":"10.1127/1432-8364/2014/0208","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0208","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85801410","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 : 2014-02-01DOI: 10.1127/1432-8364/2014/0207
Oksana Stern, B. Paschmionka, J. Stoffels, H. Buddenbaum, J. Hill
{"title":"Abbildende und nichtabbildende Geläindespektrometrie zur Untersuchung von Stressphänomenen an Buchenpflanzen The use of imaging and non-imaging Spectroscopy for the determination of stress phenomena of beech trees","authors":"Oksana Stern, B. Paschmionka, J. Stoffels, H. Buddenbaum, J. Hill","doi":"10.1127/1432-8364/2014/0207","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0207","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90702653","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 : 2014-02-01DOI: 10.1127/1432-8364/2014/0209
R. Linck, T. Busche, S. Buckreuss
The use of satellite radar widens the possibilities of archaeological prospection extremely. The resolution of the available sensors however was quite limited until now and only the detection of huge upstanding monuments or cultural landscapes was possible. The launch of TerraSAR-X, a German radar satellite in 2007, however, now offers a resolution of up to 1 m, which is required as a minimum for detecting small archaeological remains. Whereas upstanding monuments are clearly identifiable, it was still uncertain, whether the used high-frequency X-band waves of TerraSAR-X could penetrate the soil and provide information on buried archaeology as well. This paper shows the results of two test sites in Syria and Italy. Both of them have in common that there are extensive surveys by ground-based geophysical surveys with magnetometry and ground-penetrating radar, which provide information on the buried archaeological remains. By a detailed visual comparison of these results with the TerraSAR-X data, we can prove that there is a slight penetration depth of a few decimetres.
{"title":"Visual Analysis of TerraSAR-X Backscatter Imagery for Archaeological Prospection","authors":"R. Linck, T. Busche, S. Buckreuss","doi":"10.1127/1432-8364/2014/0209","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0209","url":null,"abstract":"The use of satellite radar widens the possibilities of archaeological prospection extremely. The resolution of the available sensors however was quite limited until now and only the detection of huge upstanding monuments or cultural landscapes was possible. The launch of TerraSAR-X, a German radar satellite in 2007, however, now offers a resolution of up to 1 m, which is required as a minimum for detecting small archaeological remains. Whereas upstanding monuments are clearly identifiable, it was still uncertain, whether the used high-frequency X-band waves of TerraSAR-X could penetrate the soil and provide information on buried archaeology as well. This paper shows the results of two test sites in Syria and Italy. Both of them have in common that there are extensive surveys by ground-based geophysical surveys with magnetometry and ground-penetrating radar, which provide information on the buried archaeological remains. By a detailed visual comparison of these results with the TerraSAR-X data, we can prove that there is a slight penetration depth of a few decimetres.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90277859","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 : 2013-12-01DOI: 10.1127/1432-8364/2013/0201
Gotthard Meinel, M. Burckhardt
{"title":"Die Geobasisprodukte Hausumringe und Hauskoordinaten – Charakterisierung und Aufbereitung für Gebäudebestandsanalysen The Digital Basic Geodata Sets “Hausumringe” and “Hauskoordinaten” – Characterization and Pre-processing for Building Stock Analysis","authors":"Gotthard Meinel, M. Burckhardt","doi":"10.1127/1432-8364/2013/0201","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0201","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84480933","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 : 2013-12-01DOI: 10.1127/1432-8364/2013/0202
P. Westfeld, H. Maas
{"title":"Integrated 3D Range Camera Self-Calibration","authors":"P. Westfeld, H. Maas","doi":"10.1127/1432-8364/2013/0202","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0202","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83350474","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 : 2013-12-01DOI: 10.1127/1432-8364/2013/0200
J. Bendig, A. Bolten, G. Bareth
{"title":"UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability","authors":"J. Bendig, A. Bolten, G. Bareth","doi":"10.1127/1432-8364/2013/0200","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0200","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87714998","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 : 2013-12-01DOI: 10.1127/1432-8364/2013/0198
Jochen Schiewe, Christoph Kinkeldey
{"title":"Konzeption und Implementierung einer fallspezifischen Unsicherheitskette im Rahmen fernerkundlicher Auswertungen Conception and Implementation of a Case Specific Uncertainty Chain in the processing of Remote Sensing Scenes","authors":"Jochen Schiewe, Christoph Kinkeldey","doi":"10.1127/1432-8364/2013/0198","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0198","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79803044","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：