Courses list

Wersja polska

Course code: IGN20520o12
Semester: 2012/2013 winter
Name: Digital Photogrammetry and Remote Sensing
Major: Geodesy and Cartography
Study Type: second cycle
Course type: compulsory
Study Semester: 3
ECTS points: 4
Hours (Lectures / Tutorials / Other): 10 / 20 / 0
Lecturer: dr inż. Piotr Gołuch
Language of instruction: Polish


Learning outcomes: During the course students learn theoretical knowledge and practical skills about the digital photogrammetric methods of measuring of images. Student is able to elaborate a block of images in an ImageStation Digital Photogrammetric WorkStation (knows how to carry out aerotriangulację, to obtain data for digital terrain model and generate the digital orthophotomap).

Competences: After passing the course, the students are be able to use of digital methods of preparation of aerial photographs and satellite images.

Prerequisites: photogrammetry and remote sensing (at the basic level – engineering level)

Course content: Photogrammetric scanners. Photogrammetric digital camera. Digital photogrammetric WorkStations. The main directions of the automation of photogrammetric process . Generation of DTM from photographs (photogrammetry measurement techniques: manually, semi-automatic, automatic methods , the accuracy of the DTM). Airborne laser scanning as applied to building of DTM. Digital orthophotograpic processing - orthophotomap. Creating epipolar images. Image matching techniques: Area Base Matching, Feature Base Matching. Specialist image processing - projection on the plane and surfaces.

Recommended literature: Digital Photogrammetry: An Addendum to the Manual of Photogrammetry, ASPRS 1996. Kraus K..: Photogrammetry: Geometry from Images and Laser Scans. Walter de Gruyter, Berlin 2007. Schenk A.: Digital photogrammetry. Volume I. Background, Fundametlas, Automatic Orientation Procedures. The Ohio State University. TerraScience, 1999. Publications in Archiwum Fotogrametrii, Kartografii i Teledetekcji, International Archives of Photogrammetry and Remote Sensing and OEEPE Offical Publication.

Assessment methods: Obligatory passing grades of laboratory course, test/written/oral exam. Minimum required knowledge for passing: 60%.

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