GATE Geomatics Engineering Syllabus 2025- IIT Roorkee has released the syllabus of GATE Geomatics Engineering 2025. The major topics of GATE GE syllabus 2025 are Land Surveying, Data Quantization and Processing, Radiometric and Geometric Corrections, GIS, GNSS and more. GATE Geomatics Engineering Syllabus pdf for download is available at gate2025.iitr.ac.in. Here, we have compiled the entire GATE GE syllabus for students.
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GATE Geomatics Engineering Syllabus 2025 (Part A)
- Engineering Mathematics – Surveying measurements, Precision, Accuracy, Most probable value, Regression analysis, Errors and their adjustments, Correlation coefficient, Least square adjustment, Chi square test, Statistical significant value.
- Remote Sensing – Basic concept, Spectral signature, Electromagnetic spectrum, Resolutions- Spectral. Temporal and Radiometric, Spatial, Platforms and Sensors, Visual and digital interpretation methods, Remote Sensing Data Products – PAN, Multispectral, Thermal, Microwave, Hyperspectral.
- GNSS – Principle used, Data collection methods, Components of GNSS, DGPS, Errors in observations and corrections.
- GIS – Data Sources, Data Models and Data Structures, Creation of Databases (spatial and non-spatial), Algorithms, DBMS, Spatial analysis – Interpolation, Terrain Modeling, Buffer, Overlay, and Network analysis.
GATE Geomatics Engineering Syllabus 2025- Part B Section 1
- 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, Relief (height) displacement, Stereoscopy, Flying height and scale, 3-D Model, Height determination using Parallax Bar, Slope, Digital Elevation Model (DEM).
GATE Geomatics Engineering Syllabus 2025 Part B Section 2
- 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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