#NTROScientistB #Recruitment2023 #GeoInformatics #RemoteSensing Welcome to our channel! Dive into the exciting world of NTRO Scientist 'B' Recruitment 2023 in Geoinformatics & Remote Sensing under the Government of India. In this video, we unravel the application process, eligibility criteria, and the comprehensive selection procedure for this prestigious opportunity. Don't miss out on this chance to embark on a rewarding career path in technical research and innovation.

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*Part A: Common Engineering Mathematics and Basic Geomatics*
Surveying measurements
Accuracy, Precision, Most probable value
Errors and their adjustments
Regression analysis, Correlation coefficient
Least square adjustment, Statistically significant value
Chisquare test

*Remote Sensing Section:*
Basic concept, Electromagnetic spectrum
Spectral signature, Resolutions (Spectral, Spatial, Temporal, Radiometric)
Platforms and Sensors
Remote Sensing Data Products (PAN, Multispectral, Microwave, Thermal, Hyperspectral)
Visual and digital interpretation methods

*GNSS Section:*
Principle used, Components of GNSS
Data collection methods, DGPS
Errors in observations and corrections

*GIS Section:*
Introduction, Data Sources
Data Models and Data Structures
Algorithms in GIS, DBMS
Creation of Databases (spatial and nonspatial)
Spatial analysis techniques (Interpolation, Buffer, Overlay, Terrain Modeling, Network Analysis)

*Part B: Section I Surveying and Mapping*
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, WGS84

*Land Surveying:*
Various Levels, Levelling methods
Compass, Theodolite, and Total Station and their uses
Tachometer, Trigonometric leveling
Traversing, Triangulation, and Trilateration

*Aerial Photogrammetry:*
Types of photographs, Flying height and scale
Relief (height) displacement, Stereoscopy
3D 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: Image histogram, Scattergram, VarianceCovariance matrix, Correlation matrix
Radiometric and Geometric Corrections – Registration and Resampling techniques
Image Enhancement – Contrast Enhancement (Linear and Nonlinear 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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Gear up for a knowledgepacked session! Subscribe and mark your calendars to elevate your GATE Geomatics 2024 preparation! #GATEGeomatics #MCQSeries #LiveClass #EngineeringMathematics #Mapping #ImageProcessing