Organisation : Graduate Aptitude Test In Engineering GATE
Exam Name : Geomatics Engineering (GE) Exam
Announcement : GATE Geomatics Engineering (GE) Syllabus 2023
Website : https://gate.iitk.ac.in
GATE Geomatics Engineering (GE) Syllabus
In each of the following subjects the topics have been divided into two categories – Core Topics and Special Topics. The corresponding sections of the question paper will contain 90% of their questions on Core Topics and the remaining 10% on Special Topics.
Related / Similar Syllabus : GATE Ecology and Evolution (EY) Syllabus 2023
Geomatics Engineering (GE) Syllabus
PART A: Common – Engineering Mathematics and Basic Geomatics
Engineering Mathematics- Surveying measurements, Accuracy, Precision, Most probable value, Errors and their adjustments, Regression analysis, Correlation coefficient, Least square adjustment, Statistical significant value, Chi square test. Remote Sensing- Basic concept, Electromagnetic spectrum, Spectral signature, Resolutions- Spectral. Spatial, Temporal and Radiometric, Platforms and Sensors, Remote Sensing Data Products – PAN, Multispectral, Microwave, Thermal, Hyperspectral, Visual and digital interpretation methods GNSS- Principle used, Components of GNSS, Data collection methods, DGPS, Errors in observations and corrections. GIS- Introduction, Data Sources, Data Models and Data Structures, Algorithms, DBMS, Creation of Databases (spatial and non-spatial), Spatial analysis – Interpolation, Buffer, Overlay, Terrain Modeling and Network analysis.
PART B: Section I – Surveying and Mapping
Maps- Importance of maps to engineering projects, Types of maps, Scales and uses, Plotting accuracy, Map sheet numbering, Coordinate systems- Cartesian and geographical, map projections, map datum – MSL, Geoid, spheroid, WGS-84. Land Surveying- Various Levels, Levelling methods, Compass, Theodolite and Total Station and their uses, Tachometer, Trigonometric levelling, Traversing, Triangulation and Trilateration. Aerial Photogrammetry- Types of photographs, Flying height and scale, Relief (height) displacement, Stereoscopy, 3-D Model, Height determination using Parallax Bar, Digital Elevation Model (DEM), Slope.
PART B: Section II – Image Processing and Analysis
Data Quantization and Processing – Sampling and quantization theory, Principle of Linear System, Convolution, Continuous and Discrete Fourier Transform. Digital Image Processing- Digital image characteristics: image histogram and scattergram and their significance, Variance-Covariance matrix, Correlation matrix and their significance. Radiometric and Geometric Corrections – Registration and Resampling techniques. Image Enhancement – Contrast Enhancement: Linear and Non-linear methods; Spatial Enhancement: Noise and Spatial filters Image Transformation – Principal Component Analysis (PCA), Discriminant Analysis, Color transformations (RGB – IHS, CMYK), Indices (Ratios, NDVI, NDWI). Image Segmentation and Classification – Simple techniques.
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