The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences最新文献

GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS) 神经辐射场(nerfs)与地面激光扫描(tls)几何精度分析

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-153-2023

I. Petrovska, M. Jäger, D. Haitz, B. Jutzi

{"title":"GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS)","authors":"I. Petrovska, M. Jäger, D. Haitz, B. Jutzi","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-153-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-153-2023","url":null,"abstract":"Abstract. Neural Radiance Fields (NeRFs) use a set of camera poses with associated images to represent a scene through a position-dependent density and radiance at given spatial location. Generating a geometric representation in form of a point cloud is gained by ray tracing and sampling 3D points with density and color along the rays. In this contribution we evaluate object reconstruction by NeRFs in 3D metric space against Terrestrial Laser Scanning (TLS) using ground truth data in form of a Structured Light Imaging (SLI) mesh and investigate the influence of the density to the reconstruction’s accuracy. We extend the accuracy assessment from 2D to 3D space and perform high resolution investigations on NeRFs by using camera images with 36MP resolution as well as comparison among point clouds of more than 20 million points against a 0.1mm ground truth mesh. TLS achieves the highest geometric accuracy results with a standard deviation of 1.68mm, while NeRFδt=300 diverges 18.61mm from the ground truth. All NeRF reconstructions contain 3D points inside the object which have the highest displacements from the ground truth, thus contribute the most to the accuracy results. NeRFs accuracy improves with increasing the density threshold as a consequence of completeness, since beside noise and outliers the object points are also being removed.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729126","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

SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA 利用近距离照相机对植物在胁迫下的图像进行光谱分析

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-63-2023

M. Goebel, D. Iwaszczuk

引用次数: 0

GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS 高分辨率卫星图像的几何处理:三维制图需求的质量评估

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-47-2023

E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, J. Mills

{"title":"GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS","authors":"E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, J. Mills","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-47-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-47-2023","url":null,"abstract":"Abstract. In recent decades, the geospatial domain has benefitted from technological advances in sensors, methodologies, and processing tools to expand capabilities in mapping applications. Airborne techniques (LiDAR and aerial photogrammetry) generally provide most of the data used for this purpose. However, despite the relevant accuracy of these technologies and the high spatial resolution of airborne data, updates are not sufficiently regular due to significant flight costs and logistics. New possibilities to fill this information gap have emerged with the advent of Very High Resolution (VHR) optical satellite images in the early 2000s. In addition to the high temporal resolution of the cost-effective datasets and their sub-meter geometric resolutions, the synoptic coverage is an unprecedented opportunity for mapping remote areas, multi-temporal analyses, updating datasets and disaster management. For all these reasons, VHR satellite imagery is clearly a relevant study for National Mapping and Cadastral Agencies (NMCAs). This work, supported by EuroSDR, summarises a series of experimental analyses carried out over diverse landscapes to explore the potential of VHR imagery for large-scale mapping.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729017","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 MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND) 用于摄影测量应用的多用途usv原型- grunwaldzki桥3d模型的案例研究(wrocŁaw，波兰)

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-199-2023

J. Wajs, D. Kasza

{"title":"A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND)","authors":"J. Wajs, D. Kasza","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-199-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-199-2023","url":null,"abstract":"Abstract. The BATDRON Unmanned Surface Vessel is an original structure developed at Wrocław University of Science and Technology, intended to conduct measurements using a diverse range of sensors. Initially, it was used to measure the geometry of reservoirs and waterways, however, owing to the constant development of the platform, it was possible to use a new sensor – a non-metric camera, and to carry out photogrammetric measurements. The first tests were carried out using a NIKON D800 camera and included measuring the Grunwaldzki Bridge in Wrocław.The analysis of the trajectory of the BATDRON remotely controlled (RC) vessel demonstrated that it maintains the programmed course (the average value of the distance from the set mission route was -0.04 m), which is of great importance in the case of photogrammetric measurement sessions. Also, the internal quality control (IQC) of data obtained from the non-metric camera in relation to reference data obtained with a Riegl laser scanner showed satisfactory accuracy of photogrammetric data.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729132","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

MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS 多模式地理空间和专题数据，促进绿色交易应用

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-9-2023

R. Beber, G. Perda, N. Takhtkeshha, F. Remondino, T. Maffei, D. Poli, K. Moe, P. Cipriano, M. Ciliberti

引用次数: 0

SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES 哨兵-2衍生水线海岸监测应用:一种量化垂直和水平精度的新方法

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-39-2023

Y. Castillo-Campo, X. Monteys, A. L. Beck, C. Cahalane

{"title":"SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES","authors":"Y. Castillo-Campo, X. Monteys, A. L. Beck, C. Cahalane","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-39-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-39-2023","url":null,"abstract":"Abstract. Accurate and consistent mapping of the boundary between land and water (the ‘waterline’) is critical for tracking coastal change and coastal management. Earth Observation satellite remote sensing provides a unique cost-effective alternative to traditional methods. Waterlines from satellites are often derived by methods based on spectral indices that lead to the separation between land and water. The validation strategy for these products requires a complex approach from accuracy assessment (quantifying error) to verification of its suitability for monitoring applications. Traditionally the accuracy of EO products is reduced and simplified to the resolution of the sensor or satellite that collects the data. However, environmental variables (sea conditions, weather, vegetation, anthropic) that may have a direct effect on the sensor and on the coastline that we are trying to monitor are not taken into consideration. Segments of Sentinel-2-derived waterlines were selected in North Bull Island for further analysis in the creation of a new benchmark dataset for understanding the waterline models of eastern Ireland. In our novel approach, we propose that horizontal accuracy assessment is performed by using the mean absolute distance between the GNSS reference line and the Sentinel-2-derived waterline. The vertical accuracy assessment was then calculated by the difference between the attributed waterline height compared with the mean GNSS elevation at the intersection points. Results were then compared with Dublin Port tide gauge height record. The development of reference validation models can allow more efficient application of satellite data for monitoring, and understanding how environmental variables affect each case study.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135778424","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

EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING 基于参考激光扫描的激光雷达测程和测绘评估

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-79-2023

J. Koszyk, P. Łabędź, K. Grzelka, A. Jasińska, K. Pargieła, A. Malczewska, K. Strząbała, M. Michalczak, Ł. Ambroziński

引用次数: 0

TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS 陆地三维森林制图:地理参考挑战和传感器比较

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-55-2023

C. R. Fol, A. Murtiyoso, D. Kükenbrink, F. Remondino, V. C. Griess

{"title":"TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS","authors":"C. R. Fol, A. Murtiyoso, D. Kükenbrink, F. Remondino, V. C. Griess","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-55-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-55-2023","url":null,"abstract":"Abstract. Terrestrial 3D reconstruction is a research topic that has recently received significant attention in the forestry sector. This practice enables the acquisition of high-quality 3D data, which can be used not only to derive physical forest criteria such as tree positions and diameters, but also more detailed analyses related to ecological parameters such as habitat availability and biomass. However, several challenges must be addressed before fully integrating this technology into forestry practices. The primary challenge is accurately georeferencing surveyed 3D data acquired in the same location and placing them into a national projection reference system. Unfortunately, due to the forest canopy, the GNSS signal is often obstructed, and it cannot guarantee sub-meter accuracy. In this paper, we have implemented an indirect georeferencing methodology based on spheres with known coordinates placed at the forest’s edge where GNSS reception was more reliable and accurate than under the canopy. We evaluated its performance through three analyses that confirmed the validity of our approach. Indeed, the accuracy of the TLS point cloud, georeferenced using our method, is within a centimetre level (4.7 cm), whereas mobile scanning methods demonstrate accuracy within the decimetre range but still less than a metre. Additionally, we have initiated the analysis of a potential future application for mixed reality headsets, which could enable real-time acquisition and visualisation of 3D data.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135728614","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 NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION 一种新的城市尺度三维点云分类数据集和方法

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-1-2023

O. C. Bayrak, F. Remondino, M. Uzar

{"title":"A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION","authors":"O. C. Bayrak, F. Remondino, M. Uzar","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-1-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-1-2023","url":null,"abstract":"Abstract. Urban landscapes are characterized by a multitude of diverse objects, each bearing unique significance in urban management and development. With the rapid evolution and deployment of Unmanned Aerial Vehicle (UAV) technologies, the 3D surveying of urban areas through high resolution point clouds and orthoimages has become more feasible. This technological leap enhances our capacity to comprehensively capture and analyze urban spaces. This contribution introduces a new urban dataset, called YTU3D, which covers an area of approximately 2 km2 and encompasses 45 distinct classes. Notably, YTU3D exceeds the class diversity of existing datasets, thereby enhancing its suitability for detailed urban analysis tasks. The paper presents also the application of three popular deep learning methods in the context of 3D semantic segmentation, along with a multi-level multi-resolution (MLMR) integration. Significantly, our work marks the first application of deep learning with MLMR in the literature and shows that a MLMR approach can improve the classification accuracy. The YTU3D dataset and research findings are publicly available at https://github.com/3DOM-FBK/YTU3D.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135728901","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

UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2 Unet神经网络在sentinel-2农业土地覆盖分类中的应用

The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-10-19 DOI: 10.5194/isprs-archives-xlviii-1-w3-2023-85-2023

P. Kramarczyk, B. Hejmanowska

{"title":"UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2","authors":"P. Kramarczyk, B. Hejmanowska","doi":"10.5194/isprs-archives-xlviii-1-w3-2023-85-2023","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-85-2023","url":null,"abstract":"Abstract. The article discusses a method for classifying land cover types in rural areas using a trained neural network. The focus is on distinguishing agriculturally cultivated areas and differentiating bare soil from quarry areas. This distinction is not present in publicly available databases like CORINE, UrbanAtlas, EuroSAT, or BigEarthNet. The research involves training a neural network on multi-temporal patches to classify Sentinel-2 images rapidly. This approach allows automated monitoring of cultivated areas, determining periods of bare soil vulnerability to erosion, and identifying open-pit areas with similar spectral characteristics to bare soil. After training the U-Net network, it achieved an average classification accuracy of 90% (OA) in the test areas, highlighting the importance of using OA for multi-class classifications, instead of ACC. Analysis of our main classes revealed high accuracy, 99.01% for quarries, 92.3% for bare soil, and an average of 94.8% for annual crops, demonstrating the model's capability to differentiate between crops at various growth stages and assess land cover categories effectively.","PeriodicalId":30634,"journal":{"name":"The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729197","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