scholarly journals ANALYTICAL AND DIGITAL PHOTOGRAMMETRIC GEODATA PRODUCTION SYSTEMS (A COMPARISON TEST)

2012 ◽  
Vol 33 (2) ◽  
pp. 50-54 ◽  
Author(s):  
Birutė Ruzgienė ◽  
Edita Aleknienė
Keyword(s):  
Large Scale ◽  
Production Systems ◽  
Digital Terrain Model ◽  
Terrain Model ◽  
Digital Mapping ◽  
Digital Terrain ◽  
Terrain Models ◽  
Mapping System ◽  
Mapping Technology ◽  
Images Processing

Up-to-date mapping technologies are in the middle of transition from analytical to digital. The usage of new methods and technologies implies the desire to increase mapping capability. Despite that, analytical and digital methods may be used simultaneously, thus getting more efficient results. The research objective is to present some aspects of functionality of both digital and analytical photogrammetric mapping approaches in generating 3D geodata. The experimental results show which of the two methods could lead to a more flexible mapping production in consideration of the following criteria: accuracy, flexibility, time and cost. The main result of investigations shows, that the orthophoto generation is successfully using fully automatic systems. The digital terrain models created by two technologies are almost the same due to time-consuming. Therefore more time is required for the Digital Photogrammetric System when the terrain is rougher. Despite the fact that digital photogrammetric mapping technology drastically develops, there is no doubt that analytical photogrammetry is still a significant production system for large‐scale mapping. The results demonstrate that there is not too much difference in accuracy between the analytical and the digital 14 μm pixel size images processing. The interpretation capability of experimental test area in the Digital Photogrammetric System was more complicated as it was by the analytical plotter. Two systems integrations have been foreseen. Digital terrain model obtained by the analytical plotter can be transferred to digital mapping system for orthophoto generation.

scholarly journals ASSESMENT OF THE INFLUENCE OF UAV IMAGE QUALITY ON THE ORTHOPHOTO PRODUCTION

2015 ◽  
Vol XL-1/W4 ◽  
pp. 1-8 ◽  
Author(s):  
D. Wierzbicki ◽  
M. Kedzierski ◽  
A. Fryskowska
Keyword(s):  
Large Scale ◽  
Digital Terrain Model ◽  
Image Data ◽  
Weather Conditions ◽  
Noticeable Increase ◽  
Terrain Model ◽  
Digital Terrain ◽  
Lighting Conditions ◽  
Terrain Models ◽  
Uav Image

Over the past years a noticeable increase of interest in using Unmanned Aerial Vehicles (UAV) for acquiring low altitude images has been observed. This method creates new possibilities of using geodata captured from low altitudes to generate large scale orthophotos. Because of comparatively low costs, UAV aerial surveying systems find many applications in photogrammetry and remote sensing. One of the most significant problems with automation of processing of image data acquired with this method is its low accuracy. This paper presents the following stages of acquisition and processing of images collected in various weather and lighting conditions: aerotriangulation, generating of Digital Terrain Models (DTMs), orthorectification and mosaicking. In the research a compact, non-metric camera, mounted on a fuselage powered by an electric motor was used. The tested area covered flat, agricultural and woodland terrains. Aerotriangulation and point cloud accuracy as well as generated digital terrain model and mosaic exactness were examined. Dense multiple image matching was used as a benchmark. The processing and analysis were carried out with INPHO UASMaster programme. Based on performed accuracy analysis it was stated that images acquired in poor weather conditions (cloudy, precipitation) degrade the final quality and accuracy of a photogrammetric product by an average of 25%.

Improving the accuracy of forming a digital terrain model along the railway

2021 ◽  
pp. 22-29
Author(s):  
Dmitriy A. Roshchin
Keyword(s):  
High Efficiency ◽  
Digital Terrain Model ◽  
Digital Processing ◽  
Aerial Photographs ◽  
Railway Track ◽  
Technical Solution ◽  
Digital Terrain Models ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models

The problem of improving the accuracy of digital terrain models created for monitoring and diagnostics of the railway track and the surrounding area is considered. A technical solution to this problem is presented, which includes a method for joint aerial photography and laser scanning, as well as a method for digital processing of the obtained data. The relevance of using this solution is due to the existence of zones of weak reception of signals from the global navigation satellite system, since in these zones the accuracy of constructing digital terrain models using currently used diagnostic spatial scanning systems is reduced. The technical solution is based on the method of digital processing of aerial photographs of the railway track. In this case, as elements of external orientation, the threads of the rail track located at a normalized distance from each other are used. The use of this method made it possible to increase the accuracy of determining the flight path of an aircraft over railway tracks and, as a result, the accuracy of calculating the coordinates of points on the earth's surface. As a result, a digital terrain model was created that is suitable for diagnostics and monitoring the condition of the railway trackbed. During simulation modeling, it was found that the application of the proposed method allowed to reduce to 50 % the confidence interval of the distribution of the error in determining the coordinates of points on the terrain and increase the accuracy of forming a digital terrain model. This promising technical solution for improving the accuracy of digital terrain models for railway track diagnostics is implemented using unmanned aerial vehicles that are part of the mobile diagnostic complex. The advantages of the proposed solution include high efficiency and availability of application.

scholarly journals Digital terrain model reconstruction and preliminary scientific exploration planning of the Chang'E 3

2014 ◽  
Vol XL-4 ◽  
pp. 149-151
Author(s):  
J. Liu ◽  
X. Ren ◽  
L. Mu ◽  
F. Wang ◽  
W. Wang ◽  
...  
Keyword(s):  
Digital Terrain Model ◽  
Landing Site ◽  
Model Reconstruction ◽  
Terrain Model ◽  
Topographic Features ◽  
Digital Terrain ◽  
Scientific Exploration ◽  
Terrain Models ◽  
Image Pairs ◽  
Yutu Rover

At 13:11 (GMT) December 14, 2013 Chang’e 3 (CE-3) successfully landed at 19.51° W, 44.12° N northwestern Mare Imbrium on the Moon, making it China's first planetary mission to land on a celestial body other than Earth. CE-3 explore comprises a lander and a rover. It carries eight scientific instruments onboard, including the descent camera on the lander, and the panoramic camera on the rover. These cameras imaged the topographic features around the landing site. This paper mainly presents the digital terrain model reconstruction techniques for the panoramic camera. Image pairs obtained during the first lunar day are used to reconstructed 3D Digital Terrain Models of 0.02 m resolution near observation points E and S3. The maps have been extensively used to support Yutu operations and strategic planning of the mission. The preliminary scientific exploration planning of the Yutu rover for the second lunar day has been made.

scholarly journals BACKPACK MOBILE MAPPING SOLUTION FOR DTM EXTRACTION OF LARGE INACCESSIBLE SPACES

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 473-480
Author(s):  
F. Fassi ◽  
L. Perfetti
Keyword(s):  
Digital Terrain Model ◽  
Small Scale ◽  
Mobile Mapping ◽  
Terrain Model ◽  
Digital Terrain ◽  
Mapping System ◽  
Mobile Mapping System ◽  
The One ◽  
Mapping Solution

<p><strong>Abstract.</strong> The paper presents the case study of the complete 3D survey of the area of the Fort of Pietole in Borgo Virgilio using the Leica Pegasus Backpack wearable Mobile Mapping System (MMS). Surveying the site is challenging because of its complex topology on the one hand (with notably narrow passages) and because of the presence of vegetation on the other. The framework within which this research takes place is the Fort of Pietole survey project that aims at the extraction of the Digital Terrain Model (DTM) of the area and the georeferencing of the fort defensive structures. The requirement of the project is the 3D reconstruction of the whole area at an accuracy that stands between a big scale environmental survey and a small-scale architectonic survey (1&amp;thinsp;:&amp;thinsp;500).</p> <p>The project is the opportunity to discuss the state of the art of wearable MMS, and to test the versatility and accuracy outcomes of the Pegasus Backpack under varying and challenging condition (indoor-outdoor, even-uneven pavement, satellite covered-denied areas) with the ambitious goal to use only the backpack MMS to record all the data from the DTM to the indoor narrow structures.</p>

scholarly journals Quantitative and Qualitative Terrain Analysis Based on Digital Terrain Model

2021 ◽  
Vol 906 (1) ◽  
pp. 012075
Author(s):  
Dana Sitanyiova ◽  
Dasa Bacova ◽  
Robert Sasik ◽  
Frantisek Malik
Keyword(s):  
Quantitative Analysis ◽  
Digital Terrain Model ◽  
Terrain Analysis ◽  
Qualitative And Quantitative Analysis ◽  
Negative Effects ◽  
Worst Case ◽  
Qualitative And Quantitative ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models

Abstract Within the Digital Terrain Models (DTM) processing and consequently qualitative and quantitative analysis, it is possible to gain a credible imagination of real terrain shape. In order to obtain an appropriate DTM, it is necessary to decrease the influence of the gross errors that have negative effects on the final DTM. These gross errors may degrade and in the worst case also ruin the calculations and the final outputs. The gross errors have a greater impact and are harder to define in complicated terrain and pointing out these types of errors depends on the editor’s experiences and terrain knowledge.

scholarly journals USING REMOTE SENSING AND GIS TO CREATE GEOGRAPHICAL BASES FOR THEMATIC MAPS

2021 ◽  
Vol 26 (5) ◽  
pp. 119-125
Author(s):  
Oyunkhand Byamba ◽  
◽  
Elena L. Kasyanova ◽  
Keyword(s):  
Remote Sensing ◽  
Three Dimensional ◽  
Digital Terrain Model ◽  
Gis Technology ◽  
Gis And Remote Sensing ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models ◽  
Triangulation Network ◽  
Eastern Mongolia

The development of science always depends on technological progress. Cartography is rapidly changing and developing with the introduction of new computer technologies, such as GIS and remote sensing of the Earth. Recently, there have been qualitatively new types of cartographic products, in particular 3D terrain models, which in cartography are becoming a universal, optimal and operational method for displaying terrain. The article discusses a method for creating a three-dimensional digital terrain model in the form of an irregular triangulation network based on SRTM data and GIS technology on the example of the Khenti aimag of Eastern Mongolia.

Remote 3D geological analysis of possible sedimentary layer geometries in upper Aeolis Mons, Gale Crater, Mars

2020 ◽  
Author(s):  
Divya M Persaud ◽  
Robert Barnes ◽  
Yu Tao ◽  
Jan-Peter Muller
Keyword(s):  
Digital Terrain Model ◽  
Geologic History ◽  
Depositional History ◽  
Gale Crater ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models ◽  
University Of Arizona ◽  
History Of ◽  
3D Scene

&lt;p&gt;3D terrain models from high-resolution orbital imagery, such as that from HiRISE and CTX, provide an opportunity to probe the geologic history of Gale Crater, Mars, and contextualise observations from the Mars Science Laboratory. 3D HiRISE datasets of a channel in Gale Crater are visualised in the Planetary Robotics 3D Viewer (PRo3D) [1]. Digitised measurements of layers exposed in the channel are extracted using this software and analysed to investigate the depositional history of the central mound.&lt;/p&gt; &lt;p&gt;A 1-m HiRISE digital terrain model (DTM) was retrieved from University of Arizona Chicago [2] and co-registered to an 18-m CTX DTM, itself processed with CASP-GO [3] in [4], using the NASA Ames Stereo Pipeline [5]. This 3D dataset, in addition to a 25-cm HiRISE orthorectified image (ORI), was converted to the Ordered Point Cloud (OPC) format for visualisation in PRo3D.&lt;/p&gt; &lt;p&gt;The 3D scene was then analysed in the PRo3D suite. This investigation includes identifying sets or &amp;#8220;packages&amp;#8221; of beds, their relationships (e.g. unconformities, repeated sequences, erosion), quantifying their geometries (package thickness, dip/strike), observation of how these relationships change vertically within a package and along the channel, and the generation of summary logs of these sequences. These data are compared (a) across the channel, (b) with a CRISM covering part of the channel, and (c) with depositional models of the central mound of Aeolis Mons, and implications are discussed.&lt;/p&gt; &lt;p&gt;[1] Barnes, R., et al., ESS 5, 2018. [2] http://hirise.lpl.arizona.edu/ [3] Tao et al., PSS 154, 2018 [4] Persaud, D.M., et al., EPSC, abs. #1540, 2019. [5] Beyer, R., et al., ESS 5, 2018&lt;/p&gt;

scholarly journals AUTOMATED MAPPING OF PERMANENT PRESERVATION AREAS ON HILLTOPS

CERNE ◽  
2016 ◽  
Vol 22 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Guilherme de Castro Oliveira ◽  
Elpidio Inacio Fernandes Filho
Keyword(s):  
Large Scale ◽  
Digital Terrain Model ◽  
Map Algebra ◽  
Automated Mapping ◽  
Model Builder ◽  
Terrain Model ◽  
Digital Terrain ◽  
Forest Code ◽  
New Forest ◽  
The Many

ABSTRACT Permanent Preservation Areas (PPAs) on hilltops are among the many areas protected by the New Forest Code in Brazil. Mapping of these involves difficult interpretation and application of the Law, as well a complex task of translating it in map algebra. This paper aims to present, in detail, a methodological model for delimitation of PPAs on hilltops, according to the Brazilian new Forest Code (NFC, Law 12,651/2012). The model was developed in Model Builder for ArcGIS 10.2, and is able to map the PPAs in any digital terrain model. However, field validations are required to verify its efficiency. There is need for legal standardization of criteria that may cause subjectivity in delimitation. The organization of these data on a large scale is very important, as example, to the Rural Environmental Registry, which provides georeferencing of all rural properties and its protected areas in Brazil.

Automatic generation of a digital terrain model from «Resurs-P» stereo «fortuitous» image pair

2017 ◽  
Vol 928 (10) ◽  
pp. 50-57
Author(s):  
N.E. Zharova ◽  
A.V. Bekenov ◽  
Aleksandr Chibunichev
Keyword(s):  
Remote Sensing ◽  
Digital Terrain Model ◽  
Automatic Generation ◽  
Image Pair ◽  
Digital Terrain Models ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models ◽  
Voronezh Region ◽  
Imagery Data

Since the end of 2016 the imagery data from the Russian remote sensing satellites including Resurs-P spacecrafts have become commercially available in Russia, the CIS and far abroad. In this article we consider the possibility of automatic generation of digital terrain models using a stereo “fortuitous” image pair derived from two different Resurs-P spacecrafts. For the analysis we used two different date panchromatic images of the same area of Voronezh region in Russia. The images were obtained by the Geoton-L1 sensor of two different spacecrafts

scholarly journals The estimation of errors in calculated terrain corrections in the Tatra Mountains

2010 ◽  
Vol 40 (4) ◽  
pp. 323-350 ◽  
Author(s):  
Pavol Zahorec ◽  
Roman Pašteka ◽  
Juraj Papčo
Keyword(s):  
Digital Terrain Model ◽  
Tatra Mountains ◽  
Mountainous Areas ◽  
Bouguer Anomalies ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Models ◽  
Terrain Corrections ◽  
The Tatra Mountains ◽  
Shed Light

The estimation of errors in calculated terrain corrections in the Tatra Mountains In general, calculation of terrain corrections can be a substantial source of errors in evaluating Bouguer anomalies, especially in rugged mountainous areas like the Tatra Mountains where we also get the largest values of the terrain corrections as such. It is then natural that analysis of their calculations in this area can shed light on the magnitude of correction-related errors within the whole Slovak territory. In the framework of our analysis we have estimated the effect of different computing approaches as well as the influence of accuracy of the inputs, i.e. the heights and positions of the measuring points, together with the used digital terrain models. For the sake of testing the computer programs which are currently in use, we have also substituted the real terrain by synthetic topography. We found that among the concerned constituents the most important factor is the used digital terrain model and its accuracy. The possible model-caused errors can exceed 10 mGal in the Tatra Mountains (for the density of 2.67 g.cm-3).

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