O presente trabalho propõe uma metodologia para a elaboração de modelos digitais de elevação e ortofotos, em média e pequena escala, de maneira automática, utilizando correlação de imagens digitais, a partir de fotografias aéreas métricas. Aborda conceitos básicos de Fotogrametria e correlação de imagens digitais, e lança o conceito da janela epipolar como ferramenta auxiliar na busca e correlação. Estas janelas permitem obter a máxima correlação simultânea entre duas ou mais imagens, como também a varredura em qualquer direção. Isso torna bastante robusto o método de elaboração dos produtos propostos. Esta metodologia foi implementada em um caso prático onde se utilizou uma cobertura aerofotogramétrica em escala 1:25.000. Os produtos foram validados, a partir de elementos de referência retirados de outra cobertura em escala 1:5.000. As precisões atenderam os requisitos do PEC Classe A para a escala 1:2.500 em planimetia, e intervalos de curvas de nível de 5 metros de eqüidistância, em altimetria. / This work presents a methodology for the production of digital elevation model and orthophotos on medium and small scales, with an automatic manner, using the concepts of digital image correlation. It presents basic fundamentals of photogrammetry and digital image correlation, and launches the concept of epipolar window like an auxiliary search and correlation tool. These windows allow the simultaneous multiple image correlation, in different direction scanning. This makes quite robust the production method of the proposed products. This methodology was implemented in a practical case, where 1:25.000 scale photogrammetric images were used. The products were validated using a 1:5.000 scale coverage as reference. The accuracy and precision achieved are into the Brazilian Cartography Standards as \"Classe A\" for the 1:2.500 scale, in planimmetry, and 5 meter contour lines interval in altimetry.

This thesis focuses on the analysis of all data sources available for landscape memory interpretation. Amongst those data sources are Lidar, Landsat and orthophoto pictures. According to the analytical outcome the most convenient data source seems to be the Lidar data. Based on their analysis and interpretation an information source for complex land consolidation was elaborated in the form of the forest park proposal.

O presente trabalho propõe uma metodologia para a elaboração de modelos digitais de elevação e ortofotos, em média e pequena escala, de maneira automática, utilizando correlação de imagens digitais, a partir de fotografias aéreas métricas. Aborda conceitos básicos de Fotogrametria e correlação de imagens digitais, e lança o conceito da janela epipolar como ferramenta auxiliar na busca e correlação. Estas janelas permitem obter a máxima correlação simultânea entre duas ou mais imagens, como também a varredura em qualquer direção. Isso torna bastante robusto o método de elaboração dos produtos propostos. Esta metodologia foi implementada em um caso prático onde se utilizou uma cobertura aerofotogramétrica em escala 1:25.000. Os produtos foram validados, a partir de elementos de referência retirados de outra cobertura em escala 1:5.000. As precisões atenderam os requisitos do PEC Classe A para a escala 1:2.500 em planimetia, e intervalos de curvas de nível de 5 metros de eqüidistância, em altimetria. / This work presents a methodology for the production of digital elevation model and orthophotos on medium and small scales, with an automatic manner, using the concepts of digital image correlation. It presents basic fundamentals of photogrammetry and digital image correlation, and launches the concept of epipolar window like an auxiliary search and correlation tool. These windows allow the simultaneous multiple image correlation, in different direction scanning. This makes quite robust the production method of the proposed products. This methodology was implemented in a practical case, where 1:25.000 scale photogrammetric images were used. The products were validated using a 1:5.000 scale coverage as reference. The accuracy and precision achieved are into the Brazilian Cartography Standards as \"Classe A\" for the 1:2.500 scale, in planimmetry, and 5 meter contour lines interval in altimetry.

Att arbeta med flygfoton som är ämnade att bli ortofoton kan innebära en hel del manuellt arbete. Ett ortofoto skapas av flertalet flygfoton som bearbetats av ett bildbehandlingsprogram. Varje ortofoto skapas av ett jobb i ett sådant program. Input till ett jobb är alla bilder som ska vara en del av ortofotot. Detta är inget problem om man bara har foton från en flygning. Har man däremot mängder av flygfoton, från olika områden och tidpunkter måste dessa sorteras så att alla olika jobb senare kan genomföras. Arbetet med att sortera bilder sker idag helt manuellt och behöver inte nödvändigtvis bli rätt alla gånger, speciellt inte om någon annan än den som flugit drönaren ska sortera bilderna. Detta arbete fokuserar på att lösa de manuella stegen i förhanteringen av flygfoton ämnade att bli ortofoton. En sorteringsalgoritm tas fram och en applikation som sorterar bilderna med hjälp av denna algoritm implementeras.

Det har under lång tid odlats frukt i Sverige. Fruktodlingen var länge knuten till herrgårdar och slott. Sedan slutet av 1800-talet började fruktodlingar anläggas i områdena runt Vånga, Kivik och Båstad i Skåne. Det växer fram en ny typ av näring som är mer industriellt präglad än den tidigare herrgårds- och slottsodlingen. Syftet med studien är att undersöka industrifruktodlingsarealens utveckling mellan åren 1926 och 2014 i socknarna Västra Karup vid Båstad och Södra Mellby vid Kivik. Socknarna valdes som undersökningsområden för att de ligger i två fruktodlingsdistrikt i Skåne. Metoden som används är digitalisering av fruktodlingarna i kartmaterialet och beräkning av arealen i GIS-programmet ArcMap.   Fruktodlingsarealen ökade i båda socknarna under första hälften av undersökningsperioden och minskade under den andra. I Västra Karup är arealen minst i slutet av undersökningsperioden och i Södra Mellby i början, arealen var störst i båda socknarna i mitten av perioden. Ökningen beror bland annat på avskärmningen från världsmarknaden under andra världskriget samt ett importstopp på utländsk frukt och minskningen på tullar och ett borttaget importstopp.

The development in photogrammetry has created possibilities for new methods in aerial images acquisition. Remotely-controlled imaging from an unmanned helium zeppelin is a new and relatively unexplored acquisition. The purpose with this degree project is to evaluate the accuracy of this kind of low-height photographing system, a task given from the consultant company WSP, in Sweden. Landbadet in Uddevalla municipality was chosen as a test field for the zeppelin. Seventeen images distributed over three strips were acquired from the flying height of 80 m. The ground control points for the purpose of block adjustment and control points for the purpose of accuracy evaluation were measured with Network RTK. Block adjustment were performed in the software Photomodeler Scanner. Afterwards the control points could be measured photogrammetrically and compared with the reference measurement. The evaluation of the photogrammetric point accuracy was based on the differences between the photogrammetric and the GPS-measured coordinates of the control points in plane and height. The RMS-value of the differences was 0,040 m in plane and 0,056 m in height for the whole block. The difference in the point accuracy was partially affected by the base-height ratio and by the number of images used to determine the point`s coordinates. The conclusion in general is that the system has the possibility to be used for rationalizing the mapping work compared to measurements done with conventional aerial images acquisition methods. However a satisfactorily result is dependent on a well working video link, good base-height ratio and calm wind conditions.

There are a number of studies that deal with detection of road network from image Remote Sensing data. However, little work has been done on algorithms for horizontal road signs detection from Remote Sensing data. On the other hand there are many papers that deal with horizontal road signs detection in the field of Computer vision. Theoretical part of master thesis sumarizes the methods that are used to detect objects from both, Remote Sensing and Computer vision data. In the practical part an algorithm of automatic Zebra-crossing detection based on Aerial Images and vector road layer is designed. Zebra-crossings are detected using matching of image with set of predefined patterns. Obtained set of potential objects is then filtred using geometric and relational criteria. At the end of this thesis, the proposed algorithm is validated and the results are discussed with literature. Key words: Zebra-crossing, Horizontal road signs, Image matching, Aerial images

This thesis deals with the application of unmanned aerial vehicles (UAV) in photogrammetric purposes useful in geodesy. The UAV that was used for imaging is described in the first part, also there are introduced two programs which were used for data processing. A system of mission planning and data collecting is shown on the ortofoto creating as an example. The second part of this thesis deals with testing of the accuracy through terrestrially independently measured points. The main aim of the work is to demonstrate the high potential of UAV devices for geodesy purposes.

The main aim of this dissertation is to suggest an application of unmanned aircrafts and to compare them with the currently used methods. In the introductory part the dissertation deals with the history and development of unmanned aircrafts. Further, it presents a theory essential to understand a principle of operation of the proposed methods and its analysis of the currently used methods and procedures. In the final part the dissertation explains a proposal of use of unmanned aircrafts in the industry and compares them with the methods currently used.

This dissertation deals with unmaned aerial vehicles and their use in an accurate photogrammetric mapping. The very first part of my thesis describes a history of UAV (unmaned aerial vehicles) and a theoretical introduction of the issue. In the second part of this thesis a specific example of mapping agricultural area with a missing building in cadastral map is solved. The disertation is focused on an aerial photo-shooting and then on matching the pictures in the software Agisoft Photo Scan. The result of the work is a detailed ortophoto map of the agricultural area where the missing building is exactly positionally determined.