Photogrammetric Engineering and Remote Sensing最新文献_第6页

Least Squares Adjustment with a Rank-Deficient Weight Matrix and Its Applicability to Image/Lidar Data Processing 缺乏秩权矩阵的最小二乘平差及其在图像/激光雷达数据处理中的适用性

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-10-01 DOI: 10.14358/pers.20-00081r3

Radhika Ravi, A. Habib

引用次数: 5

Grids and Datums Update: This month we look at the Republic of Zimbabwe 网格和基准更新:本月我们将关注津巴布韦共和国

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-10-01 DOI: 10.14358/pers.87.10.699

C. Mugnier

引用次数: 0

Thermal Imagery for Building and Utilities Owners 建筑和公用事业业主热成像

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-10-01 DOI: 10.14358/pers.87.10.689

Woolpert's Qassim Abdullah, Nadja F. Turek

引用次数: 1

System Calibration Including Time Delay Estimation for GNSS/INS-Assisted Pushbroom Scanners Onboard UAV Platforms 无人机平台上GNSS/ ins辅助推扫扫描仪的系统校准包括时延估计

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-10-01 DOI: 10.14358/pers.20-00084r3

Lisa M. LaForest, T. Zhou, S. Hasheminasab, A. Habib

{"title":"System Calibration Including Time Delay Estimation for GNSS/INS-Assisted Pushbroom Scanners Onboard UAV Platforms","authors":"Lisa M. LaForest, T. Zhou, S. Hasheminasab, A. Habib","doi":"10.14358/pers.20-00084r3","DOIUrl":"https://doi.org/10.14358/pers.20-00084r3","url":null,"abstract":"Unmanned aerial vehicles (UAVs ) equipped with imaging sensors and integrated global navigation satellite system/inertial navigation system (GNSS/INS ) units are used for numerous applications. Deriving reliable 3D coordinates from such UAVs is contingent on accurate geometric calibration,\u0000 which encompasses the estimation of mounting parameters and synchronization errors. Through a rigorous impact analysis of such systematic errors, this article proposes a direct approach for spatial and temporal calibration (estimating system parameters through a bundle adjustment procedure)\u0000 of a GNSS/INS -assisted pushbroom scanner onboard a UAV platform. The calibration results show that the horizontal and vertical accuracies are within the ground sampling distance of the sensor. Unlike for frame camera systems, this article also shows that the indirect approach is not a feasible\u0000 solution for pushbroom scanners due to their limited ability for decoupling system parameters. This finding provides further support that the direct approach is recommended for spatial and temporal calibration of UAV pushbroom scanner systems.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"2 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83638849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feature-Point Matching for Aerial and Ground Images by Exploiting Line Segment-Based Local-Region Constraints 基于线段局部区域约束的地空图像特征点匹配

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-10-01 DOI: 10.14358/pers.21-00022r2

Min Chen, T. Fang, Qing Zhu, X. Ge, Zhanhao Zhang, Xin Zhang

{"title":"Feature-Point Matching for Aerial and Ground Images by Exploiting Line Segment-Based Local-Region Constraints","authors":"Min Chen, T. Fang, Qing Zhu, X. Ge, Zhanhao Zhang, Xin Zhang","doi":"10.14358/pers.21-00022r2","DOIUrl":"https://doi.org/10.14358/pers.21-00022r2","url":null,"abstract":"In this study, we propose a feature-point matching method that is robust to viewpoint, scale, and illumination changes between aerial and ground images, to improve matching performance. First, a 3D rendering strategy is adopted to synthesize ground-view images from the 3D mesh model\u0000 reconstructed from aerial images and overcome the global geometric distortion between aerial and ground images. We do not directly match feature points between the synthesized and ground images, but extract line-segment correspondences by designing a line-segment matching method that can adapt\u0000 to the local geometric deformation, holes, and blurred textures on the synthesized image. Then, on the basis of the line-segment matches, local-region correspondences are constructed, and local regions on the synthesized image are propagated back to the original aerial images. Lastly, feature-point\u0000 matching is performed between the aerial and ground images with the constraints of the local-region correspondences. Experimental results demonstrate that the proposed method can obtain more correct matches and higher matching precision than state-of-the-art methods. Specifically, the proposed\u0000 method increases the average number of correct matches and average matching precision of the second-best method by more than five times and 40%, respectively.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"126 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81653738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Grids and Datums Update: This month we look at the United Kingdom 网格和基准更新:这个月我们来看看英国

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI: 10.14358/pers.87.9.609

C. Mugnier

引用次数: 0

Scene-Change Detection Based on Multi-Feature-Fusion Latent Dirichlet Allocation Model for High-Spatial-Resolution Remote Sensing Imagery 基于多特征融合潜在Dirichlet分配模型的高空间分辨率遥感影像场景变化检测

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI: 10.14358/pers.20-00054

Xiaoman Li, Yanfei Zhong, Yuxuan Su, Richen Ye

{"title":"Scene-Change Detection Based on Multi-Feature-Fusion Latent Dirichlet Allocation Model for High-Spatial-Resolution Remote Sensing Imagery","authors":"Xiaoman Li, Yanfei Zhong, Yuxuan Su, Richen Ye","doi":"10.14358/pers.20-00054","DOIUrl":"https://doi.org/10.14358/pers.20-00054","url":null,"abstract":"With the continuous development of high-spatial-resolution ground observation technology, it is now becoming possible to obtain more and more high-resolution images, which provide us with the possibility to understand remote sensing images at the semantic level. Compared with traditional\u0000 pixel- and object-oriented methods of change detection, scene-change detection can provide us with land use change information at the semantic level, and can thus provide reliable information for urban land use change detection, urban planning, and government management. Most of the current\u0000 scene-change detection methods are based on the visual-words expression of the bag-of-visual-words model and the single-feature-based latent Dirichlet allocation model. In this article, a scene-change detection method for high-spatial-resolution imagery is proposed based on a multi-feature-fusion\u0000 latent Dirich- let allocation model. This method combines the spectral, textural, and spatial features of the high-spatial-resolution images, and the final scene expression is realized through the topic features extracted from the more abstract latent Dirichlet allocation model. Post-classification\u0000 comparison is then used to detect changes in the scene images at different times. A series of experiments demonstrates that, compared with the traditional bag-of-words and topic models, the proposed method can obtain superior scene-change detection results.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"4 6","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72600784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Estimating Regional Soil Moisture with Synergistic Use of AMSR2 and MODIS Images AMSR2和MODIS影像协同估算区域土壤湿度

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI: 10.14358/pers.20-00085

M. Rahimzadegan, A. Davari, A. Sayadi

引用次数: 1

GIS Tips & Tricks—Another Trick with "Hot-Keys" GIS技巧&技巧-“热键”的另一个技巧

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI: 10.14358/pers.87.9.605

Sara Hedrick, A. Karlin

引用次数: 0

Optimal Regularization Method Based on the L-Curve for Solving Rational Function Model Parameters 基于l曲线的有理函数模型参数优化正则化方法