Digital Photogrammetry Detailed Syllabus for Geo-Informatics and Surveying Technology M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.<\/p>\n
The detailed syllabus for Digital Photogrammetry M.Tech 2017-2018 (R17) first year second sem is as follows.<\/p>\n
M.Tech. I Year II Sem.<\/p>\n
Course Objective:<\/strong> To understand the digital photogrammetric work stations, measurement of digital data, its refinement, orientation and compilation<\/p>\n Course Outcome:<\/strong> at the end of the course the student will able to calculate the parameters for performing relative and absolute orientation on overlapping photographs, Differentiate the analytical and digital photogrammetry in analyzing the terrain, Prepare DTM and orthophotos<\/p>\n UNIT \u2013 I : Introduction & Digital Photogrammetric Work Stations<\/strong> Definition of Digital Photogrammetry & Its Development, Comparison between Three Phases of Photogrammetry (Analogue, Analytical and Digital) Advantages of Digital Photogrammetry, Hardware & Software Components of DPWS, Various Inputs for Digital Photogrammetry: Control Point selection, Scanned Photo, Digital Photographs, Remote Sensing Imagery Photogrammetric Scanners: Principle of Image Scanning, Configuration of Scanners, Method of Scanning, File Format and Size.<\/p>\n UNIT \u2013 II : Image Measurements & Their Refinement\u00a0<\/strong>Introduction to Coordinate Systems And Image Measurements, Simple Scales for Photographic measurements, Measuring Photo Coordinates with Simple Scales, Trilaterative method of Photo Coordinate Measurement, Measurement of Photo Coordinates with Tablet Digitizers, Mono Comparator measurement of Photo Coordinates. UNIT \u2013 III : Orientation Procedures in Digital Photogrammetry\u00a0<\/strong>Inner orientation (IO), Mathematical transformations, Epipolar geometry, Exterior Orientation (EO), Auto Tie Point Generation, Digital Image Matching Process: Area Based, Feature and Relation Based, Co linearity Condition Space Resection Method, Space Intersection, Aerial Triangulation and Bundle Block Adjustment, Use Of GPS And IMU in Digital Photogrammetry<\/p>\n UNIT \u2013 IV : 3D Visualization & Stereo-Compilation\u00a0<\/strong>Principle and Method of 3d Visualization: Anaglyph Polarized and Hybrid Techniques, Feature Extraction, Feature Coding, Data Model and Feature Class. Definition DEM, DTM, DSM, Various Inputs to DEM\/DTM, DTM Specification And Accuracy, Application of DTM, Various Interpolation Techniques: Grid, TIN, Break Lines, Mass Points, Digital Orthophoto Generation (Pre-processing, Main processing, Post processing) and its uses.<\/p>\n UNIT \u2013 V : Air Borne Laser Terrain Mapping (LIDAR)<\/strong> TEXT BOOKS:<\/strong><\/p>\n REFERENCES:<\/strong><\/p>\n
\nRefinement of Measured Image Coordinates: Distortions of Photographic Films and Paper, Shrinkage Correction, Lens Distortions Corrections, Atmospheric Refraction Correction, Earth Curvature Correction, Reduction of Coordinates to an Origin at the Principal Point.<\/p>\n
\nIntroduction to Laser Ranging, Principle of LiDAR, System Components, Range Measurements, LiDAR Error Sources, Accuracy, Applications & Advantages of ALTM.<\/p>\n\n
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