Geoinformatics FCE CTU最新文献_第2页

Estimation of the Cartographic Projection and~its Application in Geoinformatics-habilitation thesis presentation 地图投影的估计及其在地理信息学中的应用——论文介绍

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/GI.16.1.2

T. Bayer

{"title":"Estimation of the Cartographic Projection and~its Application in Geoinformatics-habilitation thesis presentation","authors":"T. Bayer","doi":"10.14311/GI.16.1.2","DOIUrl":"https://doi.org/10.14311/GI.16.1.2","url":null,"abstract":"Modern techniques for the map analysis allow for the creation of full or partial geometric reconstruction of its content. The projection is described by the set of estimated constant values: transformed pole position, standard parallel latitude, longitude of the central meridian, and a constant parameter. Analogously the analyzed map is represented by its constant values: auxiliary sphere radius, origin shifts, and angle of rotation. Several new methods denoted as M6-M9 for the estimation of an unknown map projection and its parameters differing in the number of determined parameters, reliability, robustness, and convergence have been developed. However, their computational demands are similar. Instead of directly measuring the dissimilarity of two projections, the analyzed map in an unknown projection and the image of the sphere in the well-known (i.e., analyzed) projection are compared. Several distance functions for the similarity measurements based on the location as well as shape similarity approaches are proposed. An unconstrained global optimization problem poorly scaled, with large residuals, for the vector of unknown parameters is solved by the hybrid BFGS method. To avoid a slower convergence rate for small residual problems, it has the ability to switch between first- and second-order methods. Such an analysis is beneficial and interesting for historic, old, or current maps without information about the projection. Its importance is primarily referred to refinement of spatial georeference for the medium- and small-scale maps, analysis of the knowledge about the former world, analysis of the incorrectly/inaccurately drawn regions, and appropriate cataloging of maps. The proposed algorithms have been implemented in the new version of the detectproj software.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130329074","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: 1

Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud 基于稀疏激光扫描点云的激光雷达数据建筑轮廓提取综合方法

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/GI.16.1.6

Petr Hofman, M. Potůčková

{"title":"Comprehensive approach for building outline extraction from LiDAR data with accent to a sparse laser scanning point cloud","authors":"Petr Hofman, M. Potůčková","doi":"10.14311/GI.16.1.6","DOIUrl":"https://doi.org/10.14311/GI.16.1.6","url":null,"abstract":"The method of building outline extraction based on segmentation of airborne laser scanning data is proposed and tested on a dataset comprising 1,400 buildings typical for residential and industrial urban areas. The algorithm starts with setting a special threshold to separate building from bare earth points and low objects. Next, local planes are fitted to each point using RANSAC and further refined by least squares adjustment. A normal vector is assigned to each point. Similarities among normal vectors are evaluated in order to assemble planar or curved roof segments. Finally, building outlines are formed from detected segments using the a-shapes algorithm and further regularized. The extracted outlines were compared with reference polygons manually derived from the processed laser scanning point cloud and orthoimages. Area-based evaluation of accuracy of the proposed method revealed completeness and correctness of 87 % and 97 %, respectively, for the test dataset. The influence of parameters like number of points per roof segment, complexity of the roof structure, roof type, and overlap with vegetation on accuracy was evaluated and discussed.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127287","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: 4

Accuracy of Digital Surface Models derived from archival aerial photographs. Case study for the Czech Republic. 基于存档航空照片的数字地表模型的精度。捷克共和国的案例研究。

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/gi.16.1.3

J. Pacina, J. Popelka

引用次数: 4

Design of a survey net for metric survey documentation of a historical building 历史建筑计量测量文献测量网的设计

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/GI.16.1.4

Z. Poloprutský

引用次数: 1

Web mapping application of Roman Catholic Church administration in the Czech lands in the early modern period 近代早期罗马天主教在捷克土地管理的Web地图应用

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/GI.16.1.1

P. Seemann

{"title":"Web mapping application of Roman Catholic Church administration in the Czech lands in the early modern period","authors":"P. Seemann","doi":"10.14311/GI.16.1.1","DOIUrl":"https://doi.org/10.14311/GI.16.1.1","url":null,"abstract":"Reconstruction of historical spatial relationships is still a topical issue in historical geography. In this respect, the Church history has not been well explored. The parish administration in the Czech lands is evolving since the advent of Christianity in 863, and a number of reforms have passed over the centuries. Significant changes in the administration also underwent during recatholisation of the Czech lands in the 17th and 18th century. From this Baroque era, there are written sources which have been preserved, so they can be utilized to reconstruct historical Church administration in the form of web mapping application. The paper briefly introduces methods which were used to build a spatial database filled with historical data. However, the main outcome of this paper is to describe the creation of the web mapping application that provides visualisation of this data. Discussed are topics like cartographic project, choice of map symbols, data generalization for different levels of detail and placement of annotations. Display of cartographic data were performed using the ArcGIS platform, through a combination of map tiles and feature services that are bundled into the application template created in Web AppBuilder.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474760","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: 3

Adjustment and testing comparison of absolute gravimeters in November 2013 2013年11月绝对重力仪调整及测试对比

Geoinformatics FCE CTU Pub Date : 2017-10-08 DOI: 10.14311/GI.16.1.5

A. Pešková, M. Štroner

引用次数: 0

Precision Tests of Geodetic Centring Equipment 大地测量定心设备的精度试验

Geoinformatics FCE CTU Pub Date : 2016-12-08 DOI: 10.14311/GI.15.2.1

F. Dvorácek

引用次数: 0

Rating of authors 作者评分

Geoinformatics FCE CTU Pub Date : 2016-12-08 DOI: 10.14311/GI.15.2.0

V. Stehlíková, M. Urban, Ondřej Netvich

引用次数: 1

Documentation of Urn Graves of Knovíz Culture by RPAS RPAS对Knovíz文化瓮冢的记录

Geoinformatics FCE CTU Pub Date : 2016-12-08 DOI: 10.14311/GI.15.2.6

J. Šedina, E. Housarová, E. Matoušková

引用次数: 2

Object Based and Pixel Based Classification Using Rapideye Satellite Imager of ETI-OSA, Lagos, Nigeria 基于目标和基于像素的快速眼卫星成像仪分类，尼日利亚拉各斯

Geoinformatics FCE CTU Pub Date : 2016-12-08 DOI: 10.14311/GI.15.2.5

E. O. Makinde, A. Salami, J. Olaleye, Oluwapelumi Comfort Okewusi

{"title":"Object Based and Pixel Based Classification Using Rapideye Satellite Imager of ETI-OSA, Lagos, Nigeria","authors":"E. O. Makinde, A. Salami, J. Olaleye, Oluwapelumi Comfort Okewusi","doi":"10.14311/GI.15.2.5","DOIUrl":"https://doi.org/10.14311/GI.15.2.5","url":null,"abstract":"Several studies have been carried out to find an appropriate method to classify the remote sensing data. Traditional classification approaches are all pixel-based, and do not utilize the spatial information within an object which is an important source of information to image classification. Thus, this study compared the pixel based and object based classification algorithms using RapidEye satellite image of Eti-Osa LGA, Lagos. In the object-oriented approach, the image was segmented to homogenous area by suitable parameters such as scale parameter, compactness, shape etc. Classification based on segments was done by a nearest neighbour classifier. In the pixel-based classification, the spectral angle mapper was used to classify the images. The user accuracy for each class using object based classification were 98.31% for waterbody, 92.31% for vegetation, 86.67% for bare soil and 90.57% for Built up while the user accuracy for the pixel based classification were 98.28% for waterbody, 84.06% for Vegetation 86.36% and 79.41% for Built up. These classification techniques were subjected to accuracy assessment and the overall accuracy of the Object based classification was 94.47%, while that of Pixel based classification yielded 86.64%. The result of classification and accuracy assessment show that the object-based approach gave more accurate and satisfying results","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114138014","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: 28