Photogrammetric Engineering and Remote Sensing最新文献_第4页

Estimation of Rock Characteristics Based on Polarization Spectra: Surface Roughness, Composition, and Density 基于偏振光谱的岩石特性估计:表面粗糙度、成分和密度

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00014r2

Feizhou Zhang, Xufang Liu, Yun Xiang, Zihan Zhang, Siyuan Liu, Lei Yan

{"title":"Estimation of Rock Characteristics Based on Polarization Spectra: Surface Roughness, Composition, and Density","authors":"Feizhou Zhang, Xufang Liu, Yun Xiang, Zihan Zhang, Siyuan Liu, Lei Yan","doi":"10.14358/pers.21-00014r2","DOIUrl":"https://doi.org/10.14358/pers.21-00014r2","url":null,"abstract":"Surface polarization characteristics provide crucial structural information of the Earth's surface. As two key elements of the natural geographical environment, rocks and soils play an important role in the study of surface processes. Inherent surface characteristics, such as surface\u0000 roughness, composition, and density are critical parameters for the remote monitoring of land surfaces as they affect the polarization characteristics of scattered light waves. In this study, we investigated the relationship between surface roughness, composition, and density, and the polarization\u0000 spectra of limestone-dolomite series rock. Results reveal a power function relationship between the surface roughness and the degree of polarization peaks among different detection zenith and azimuth angles. The depth and position of the absorbing waveband are significantly correlated with\u0000 the characteristic component contents. The rock density was determined via the polarized reflection spectra, with the Earth's surface density calculations associated with a 2.6% divergence from the current recognized data. Our results demonstrate the ability of polarized spectra to retrieve\u0000 surface roughness, composition, and density, with potential for further development in future work.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89650839","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

GIS Tips & Tricks—Giving Credit where it is Due GIS提示和技巧-在应得的地方给予信用

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.87.12.869

Alex S. Karlin

引用次数: 0

MSegnet, a Practical Network for Building Detection from High Spatial Resolution Images MSegnet，一种实用的高空间分辨率图像建筑检测网络

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00016r2

Bo Yu, Fang Chen, Ying Dong, Lei Wang, Ning Wang, Aqiang Yang

引用次数: 1

Dense Bathymetry in Turbid Coastal Zones Using Airborne Hyperspectral Images 基于机载高光谱图像的浑浊海岸密集测深

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00015r2

Steven Martinez Vargas, C. Delrieux, Katy L. Blanco, A. Vitale

引用次数: 3

Automatic Registration of Mobile Mapping System Lidar Points and Panoramic-Image Sequences by Relative Orientation Model 基于相对定向模型的移动测绘系统激光雷达点与全景图像序列的自动配准

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00006r2

N. Zhu, Bisheng Yang, Zhen Dong, Chi Chen, Xia Huang, W. Xiao

{"title":"Automatic Registration of Mobile Mapping System Lidar Points and Panoramic-Image Sequences by Relative Orientation Model","authors":"N. Zhu, Bisheng Yang, Zhen Dong, Chi Chen, Xia Huang, W. Xiao","doi":"10.14358/pers.21-00006r2","DOIUrl":"https://doi.org/10.14358/pers.21-00006r2","url":null,"abstract":"To register mobile mapping system (MMS) lidar points and panoramic-image sequences, a relative orientation model of panoramic images (PROM) is proposed. The PROM is suitable for cases in which attitude or orientation parameters are unknown in the panoramic-image sequence. First, feature\u0000 points are extracted and matched from panoramic-image pairs using the SURF algorithm. Second, these matched feature points are used to solve the relative attitude parameters in the PROM. Then, combining the PROM with the absolute position and attitude parameters of the initial panoramic image,\u0000 the MMS lidar points and panoramic-image sequence are registered. Finally, the registration accuracy of the PROM method is assessed using corresponding points manually selected from the MMSlidar points and panoramic-image sequence. The results show that three types of MMSdata sources are registered\u0000 accurately based on the proposed registration method. Our method transforms the registration of panoramic images and lidar points into image feature-point matching, which is suitable for diverse road scenes compared with existing methods.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"14 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84356487","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

Grids and Datums Update: This month we look at Saint Vincent and the Grenadines 网格和基准更新:这个月我们来看看圣文森特和格林纳丁斯

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.87.12.871

C. Mugnier

引用次数: 0

UAV Remote Sensing Assessment of Crop Growth 作物生长的无人机遥感评估

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00060r2

F. Dorbu, L. Hashemi-Beni, A. Karimoddini, A. Shahbazi

引用次数: 2

Semi-Automated Roller Parameters Extraction from Terrestrial Lidar 地面激光雷达半自动化滚轮参数提取

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-12-01 DOI: 10.14358/pers.21-00005r2

S. Deshpande, M. Falk, N. Plooster

{"title":"Semi-Automated Roller Parameters Extraction from Terrestrial Lidar","authors":"S. Deshpande, M. Falk, N. Plooster","doi":"10.14358/pers.21-00005r2","DOIUrl":"https://doi.org/10.14358/pers.21-00005r2","url":null,"abstract":"Rollers are an integral part of a hot-rolling steel mill. They transport hot metal from one end of the mill to another. The quality of the steel highly depends on the surface quality of the rollers. This paper presents semi-automated methodologies to extract roller parameters from terrestrial\u0000 lidar points. The procedure was divided into two steps. First, the three-dimensional points were converted to a two-dimensional image to detect the extents of the rollers using fast Fourier transform image matching. Lidar points for every roller were iteratively fitted to a circle. The radius\u0000 and center of the fitted circle were considered as the average radius and average rotation axis of the roller, respectively. These parameters were also extracted manually and were compared to the measured parameters for accuracy analysis. The proposed methodology was able to extract roller\u0000 parameters at millimeter level. Erroneously identified rollers were identified by moving average filters. In the second step, roller parameters were determined using the filtered roller points. Two data sets were used to validate the proposed methodologies. In the first data set, 366 out of\u0000 372 rollers (97.3%) were identified and modeled. The second, smaller data set consisted of 18 rollers which were identified and modelled accurately.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"27 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73917811","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

Spectral Probability Distribution of Closed Connected Water and Remote Sensing Statistical Inference for Yellow Substance 闭连通水的光谱概率分布及黄色物质的遥感统计推断

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-11-01 DOI: 10.14358/pers.20-00119r2

Weining Zhu, Zeliang Zhang, Zaiqiao Yang, Shuna Pang, Jiang Chen, Q. Cheng

{"title":"Spectral Probability Distribution of Closed Connected Water and Remote Sensing Statistical Inference for Yellow Substance","authors":"Weining Zhu, Zeliang Zhang, Zaiqiao Yang, Shuna Pang, Jiang Chen, Q. Cheng","doi":"10.14358/pers.20-00119r2","DOIUrl":"https://doi.org/10.14358/pers.20-00119r2","url":null,"abstract":"Unlike traditional remote sensing inversion, this study proposes a new distribution–distribution scheme, which uses statistical inferences to estimate the probability distribution of in-water components based on the probability distribution of the observed spectra. The distribution–distribution\u0000 scheme has the advantages that it rapidly gives the statistical information of the water of interest, assists the traditional scheme in improving models, and provides more valuable information for water classification and aquatic environment analysis. In this study, based on Landsat-8 images,\u0000 we analyzed the spectral probability distributions of 688 global waters and found that many of them were normal, log normal, and exponential distributions with diverse patterns in distribution parameters such as the mean, standard deviation, skewness, and kurtosis. Using simulated and field-measured\u0000 data, we propose a bootstrap-based distribution–distribution scheme and develop some simple remote sensing statistical inference models to estimate the distribution parameters of yellow substance in water.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":" 5","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72381673","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: 4

The Analysis on the Annual Change of Digital Aerial Camera's IMUs Boresight Misalignment 数字航空相机imu轴向误差的年变化分析

IF 1.3 4区地球科学

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-11-01 DOI: 10.14358/pers.21-00002r2

A. Kayı, B. Bayram, D. Seker

引用次数: 1