The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences最新文献_第10页

Development of Multi-Strip Image Mosaicking for KOMPSAT-3A Images 为 KOMPSAT-3A 图像开发多条图像镶嵌技术

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-11 DOI: 10.5194/isprs-archives-xlviii-1-2024-927-2024

Jong-Hwan Son, Sumin Park, Hyeon-Ju Ban, Taejung Kim

{"title":"Development of Multi-Strip Image Mosaicking for KOMPSAT-3A Images","authors":"Jong-Hwan Son, Sumin Park, Hyeon-Ju Ban, Taejung Kim","doi":"10.5194/isprs-archives-xlviii-1-2024-927-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-927-2024","url":null,"abstract":"Abstract. High-resolution satellite imagery has a limitation in terms of coverage area. This limitation presents challenges for extensive-scale analysis at regional or national levels. To maximize the utility of high-resolution satellite imagery, the implementation of image mosaicking techniques is essential. In this paper, we have developed seamline extraction techniques and relative geometric correction optimized for high-resolution satellite imagery. Ultimately, we proposed a multi-strip image mosaicking method for KOMPSAT-3A (Korea Multi-Purpose Satellite-3A) images. We applied the Dijkstra's shortest path algorithm to efficiently extract seamlines. we also performed image registration based on feature matching and homography transformation to correct the relative geometric errors between input images. We conducted experiments with our methods using 29 scenes from KOMPSAT-3A L1G data. The results indicated high relative geometric accuracy, with an average error of 1.63 pixels. Furthermore, we were able to obtain high-quality seamless mosaic images. Our proposed method is expected to enhance the utility of KOMPSAT-3A imagery for large-scale environmental and urban analysis and to provide more accurate and comprehensive data.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990433","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

Neural Cellular Automata-based Land Use Changes Simulation 基于神经细胞自动机的土地利用变化模拟

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-11 DOI: 10.5194/isprs-archives-xlviii-1-2024-843-2024

Jinian Zhang, Lanfa Liu

引用次数: 0

Analysis of surface deformation and related factors over mining areas based on InSAR: A case study of Fengcheng mine 基于 InSAR 的矿区地表变形及相关因素分析：丰城矿区案例研究

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-11 DOI: 10.5194/isprs-archives-xlviii-1-2024-697-2024

Xiaying Wang, Shuaiqiang Chen, Yuanping Xia, Yufen Niu, Jun Gong, Yumei Yang

{"title":"Analysis of surface deformation and related factors over mining areas based on InSAR: A case study of Fengcheng mine","authors":"Xiaying Wang, Shuaiqiang Chen, Yuanping Xia, Yufen Niu, Jun Gong, Yumei Yang","doi":"10.5194/isprs-archives-xlviii-1-2024-697-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-697-2024","url":null,"abstract":"Abstract. Ground surface deformation in mines affects mining production, damages the ecological environment, and endangers human safety. Mastering the detailed time series deformation and related triggering factors can provide key information for the safety of the mining area. Therefore, the Fengcheng mining area, a large and ancient coal mine in Jiangxi Province, China, was selected as the study area in this work, and the following research was conducted: 1. The accuracy and applicability of the Stacking, Small-Baseline Subset InSAR (SBAS-InSAR), and Interferometric Point Target Analysis (IPTA) methods were preliminarily explored while monitoring the annual deformation rate based on Sentinel-1A data from October 2019 to November 2022. 2. The time-series deformation of the Fengcheng mining area was obtained with SBAS-InSAR technology, and the sedimentation was validated with leveling results. 3. The correlation factors of deformation, such as rainfall and land cover, were studied, and the relationship between the influencing factors, such as coal mining dip angle, digital elevation, coal mining elevation, and deformation, was quantitatively explored with the Grey correlation model and Pearson correlation analysis method. The following conclusions were drawn: The SBAS method has the best adaptability in the dense vegetation mining area, and the root-mean-square error of the difference between deformation results and leveling data does not exceed 4mm. The evolution process of deformation centers is mainly divided into the stages of initial deformation, constant velocity deformation, accelerated deformation, and stable condition. Compared with the natural factors, the settlement of the Fengcheng mining area is mainly affected by human-induced mining and construction of artificial facilities.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988799","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

Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey 土地利用调查中卫星图像数据的质量检查和问题分析

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-129-2024

Shuai Dong, Chenni Lu, Wenchao Gao, Chang Liu, Jin Bai

引用次数: 0

A Straightforward Camera Calibration Method Based on a Single Low-cost Cubical Target 基于单个低成本立方体目标的简单相机校准方法

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-37-2024

Yuezhen Cai, Linyuan Xia, Ting On Chan

{"title":"A Straightforward Camera Calibration Method Based on a Single Low-cost Cubical Target","authors":"Yuezhen Cai, Linyuan Xia, Ting On Chan","doi":"10.5194/isprs-archives-xlviii-1-2024-37-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-37-2024","url":null,"abstract":"Abstract. Calibrating optical sensors with common targets facilitates the efficient and convenient acquisition of the sensor's internal parameters. In this paper, we present a new method of camera calibration utilizing a low-cost foamy cube, in a form of dice, which is based on the fact that arrangement of pip and cubical die surfaces is mutually orthogonal. Initially, each face and pips are identified through the color information on the die’s surfaces. Subsequently, the centers of pips are corrected using a circular projection model, and radial distortion coefficients are estimated based on centers’ one-to-one correspondences. After that, the tangent information between pairs of pips on orthogonal dice faces are utilized to compute vanishing points, leading to estimation of intrinsic parameters. Experimental results demonstrate that our method has similar effects compared to well-known checkerboard calibration method, reaching an average relative error of 2.43%, simplifying the calibration process in practical applications and showcasing good practicality and robustness.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990942","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

Influence of 3D models choice on cervical outline measurements of teeth 三维模型选择对牙颈部轮廓测量的影响

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-159-2024

A. Gaboutchian, V. Knyaz, Anatoly Maximov, S. Zheltov

{"title":"Influence of 3D models choice on cervical outline measurements of teeth","authors":"A. Gaboutchian, V. Knyaz, Anatoly Maximov, S. Zheltov","doi":"10.5194/isprs-archives-xlviii-1-2024-159-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-159-2024","url":null,"abstract":"Abstract. Among different study techniques, which are used in dental research, measurements of teeth play one of the most important roles. However classical measurement techniques usually show consistent results on morphologically complete objects, while teeth can be found in different conditions, depending, for instance, on the natural wear degree. In order to increase the sample, which is especially important when findings are not abundant, and to improve the analytical part, alternative techniques have been proposed, among which cervical measurements are considered to be informative, especially taking into consideration morphological and methodological importance of the cervical area. Algorithms of automated digital measurement techniques also use the cervical area for providing stability of results. Visualisation of the tooth cervical margin and reconstruction of its projections can be achieved by two conventional imaging techniques, which are tomography (preferably high-resolution) and intra-oral confocal optical scanning. They both were used for obtaining 3D reconstruction of upper premolar taken from palaeoanthropological materials. In line with applying the same automated coordinate system setting algorithm to both types of reconstructions, contours of their enamel cervical margins were defined and their projections to horizontal plane were obtained and measured. Despite the fact that 3D reconstructions from different imaging sources technically can serve for running automated odontometry, measurement results, especially in comparative studies, should be handled with attention.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990207","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

Mobile LiDAR-based Real-time Identification of Transmission Lines 基于移动激光雷达的输电线路实时识别技术

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-335-2024

Minglei Li, Li Xu, Mingfan Li, Guoyuan Qu, Dazhou Wei, Wei Li

{"title":"Mobile LiDAR-based Real-time Identification of Transmission Lines","authors":"Minglei Li, Li Xu, Mingfan Li, Guoyuan Qu, Dazhou Wei, Wei Li","doi":"10.5194/isprs-archives-xlviii-1-2024-335-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-335-2024","url":null,"abstract":"Abstract. This paper proposes a method for identifying 3D point cloud of transmission line acquired by light detection and ranging (LiDAR) real-time mobile scanning. Since the single frame of point cloud obtained by LiDAR is sparse, the method employs a sliding spatial window strategy with Kalman filtering for dynamic point cloud registration. Then, a 3D point cloud deep learning neural network that utilizes uniform sampling and local feature aggregation (LFA) is designed specifically for transmission line objects. The network handles the problem of long-span objects and a large amount of point cloud. Finally, the instantiated transmission line objects are extracted from the top-down projection of the semantically segmented 3D point cloud by fast Euclidean clustering algorithm. Experiments demonstrate that the method achieves a classification accuracy of 94.7% and a mean intersection over union of 81.6% on 3D point cloud datasets of transmission line obtained from LiDAR mobile scanning, validating its ability to achieve real-time identification and distance measurement of transmission line objects.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140993982","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

Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region 模拟吉布提共和国土地利用和土地覆被变化的选定驱动变量：一项来自半干旱地区的研究

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-555-2024

S. Pandit, S. Shimada, Timothy Dube

{"title":"Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region","authors":"S. Pandit, S. Shimada, Timothy Dube","doi":"10.5194/isprs-archives-xlviii-1-2024-555-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-555-2024","url":null,"abstract":"Abstract. This study aims to integrate driver variables with a land use change model (LCM) to explore their impact on the natural environment within the context of land-use changes in the Republic of Djibouti, considering possible Business-as-usual scenarios. Secondary data from 1990 and 2012 on land use land cover (LULC) were analyzed, with a 2022 map generated by adopting the same method of secondary data used (random forest classification in Google Earth Engine (GEE)) for validation. Eight key driver variables were utilized to model plausible future land cover (2035) for Djibouti. Statistical outputs and change maps from the LCM were compared to gauge historical change estimates and simulated scenarios. Analysis from 1990 to 2022 highlights significant land use and cover changes spurred by urbanization, environmental factors, and economic development. Barren land and bushland dominated, while built-up areas and water bodies expanded notably. Urbanization, agriculture, and climate change contributed to vegetation degradation, with declines in mangroves and increases in built-up areas. Water bodies also expanded during this period. Projections from the 2035 LULC map anticipate further urban expansion, underscoring the need for sustainable land management practices. In conclusion, comprehensive land-use planning, interdisciplinary approaches, and stakeholder engagement are deemed critical for addressing Djibouti's socio-economic and environmental challenges and steering towards a sustainable future. These simulated results offer valuable insights for regional governments to frame strategic policies and assess management actions for resource utilization amidst urbanization and population growth trends.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140991743","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-sensor Data Analysis for Aerial Image Semantic Segmentation and Vectorization 用于航空图像语义分割和矢量化的多传感器数据分析

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-291-2024

V. Knyaz, V. Kniaz, S. Zheltov, Kirill S. Petrov

{"title":"Multi-sensor Data Analysis for Aerial Image Semantic Segmentation and Vectorization","authors":"V. Knyaz, V. Kniaz, S. Zheltov, Kirill S. Petrov","doi":"10.5194/isprs-archives-xlviii-1-2024-291-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-291-2024","url":null,"abstract":"Abstract. One of the urgent and constantly in demand problems is updating maps. Maps, representing geo-information in vector form, have undoubted advantages in compactness and ”readability” compared to aerial photographs. The issue of maps actuality is critically important for rational urban planning, precision farming, the relevance of the cadastre and other geospatial applications. Various sources of data are used for maps updating, with aerial imagery being the main and rich source of information. Automatic processing of aerial photographs makes it possible to efficiently extract vector information, providing operational monitoring and accounting for changes that have appeared. The presented study addresses the problem of multi sensor information fusion in order to obtain accurate vector information. We use aerial images as a main data source and additionally the data of laser scanning and ground survey to increase performance of automatic image semantic segmentation and vectorization. The proposed framework is demonstrated on the task of forest monitoring.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140992453","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

Visual Reinforcement Learning for Dynamic Object Detection 用于动态物体检测的视觉强化学习

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Pub Date : 2024-05-10 DOI: 10.5194/isprs-archives-xlviii-1-2024-679-2024

Xiangsheng Wang, Xikun Hu, Ping Zhong

{"title":"Visual Reinforcement Learning for Dynamic Object Detection","authors":"Xiangsheng Wang, Xikun Hu, Ping Zhong","doi":"10.5194/isprs-archives-xlviii-1-2024-679-2024","DOIUrl":"https://doi.org/10.5194/isprs-archives-xlviii-1-2024-679-2024","url":null,"abstract":"Abstract. Object detection is a widely studied task in computer vision. Current methods often focus on images captured from appropriate viewpoints. However, there is a large disparity between objects observed from different viewpoints in the real world. Dynamic Object Detection (DOD) method automatically adjusts the camera viewpoint in a visual scene to sequentially find optimal viewpoints. Currently, the DOD tasks are usually modeled as a sequential decision-making problem and solved using reinforcement learning methods. Existing approaches face challenges with sparse rewards and training instability. To tackle these issues, we proposed a single-step reward function and a lightweight network, respectively. The single-step reward function, which provides timely feedback, gives an efficient training process for DOD tasks. The lightweight network with few parameters can ensure the stability of the training process. To evaluate the effectiveness of our method, we developed a simulation dataset based on UE4, which consists of 1800 training images and 450 testing images. The dataset includes five object categories: vans, cars, trailers, box trucks and SUVs. Experiments demonstrate that our method outperforms SOTA object detectors on our simulation dataset. Specifically, the average precisions(APs) are improved from 89.1% to 96.0% when using the YOLOv8 object detector.\u0000","PeriodicalId":505918,"journal":{"name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140991058","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