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Remote Sensing Data In-Depth Processing

22 - 26 May 2017
47 200
for   5   days per person
Enroll in a course
Location
SCANEX Group
Information
Phone: +7 (495) 739-73-85 Email: course@scanex.ru
The course addresses issues of in-depth processing and the advanced analysis of remote sensing data.
During the training period, students will be introduced to the basic principles of image processing, develop vector data processing skills, learn how to create a mosaic of images, process digital elevation models (DEM), and much more. The course provides the use of the ScanEx Image Processor software package.
Teachers
Moiseeva Nina
Trainer
Novikova Evgeniya
Trainer
22 May 2017 — Remote Sensing Data In-Depth Processing
10:00 — 13:00
Day 1: Theoretical part
14:00 — 18:00
Day 1: Practical part
10:00 — 13:00
Day 2: Theoretical part
14:00 — 18:00
Day 2: Practical part
10:00 — 13:00
Day 3: Theoretical part
14:00 — 18:00
Day 3: Practical part
10:00 — 13:00
Day 4: Theoretical part
14:00 — 18:00
Day 4: Practical part
10:00 — 13:00
Day 5: Theoretical part
14:00 — 18:00
Day 5: Practical part
Remote Sensing Data In-Depth Processing

The course addresses issues of in-depth processing and the advanced analysis of remote sensing data.

During the training period, students will be introduced to the basic principles of image processing, develop vector data processing skills, learn how to create a mosaic of images, process digital elevation models (DEM), and much more. The course provides the use of the ScanEx Image Processor software package. 

10:00 — 13:00
Day 1: Theoretical part
  • Satellite imagery, its properties and applications; 
  • The current state of the remote sensing data market; 
  • Parameters of satellite orbits, types of survey instruments; 
  • Basic principles of modern survey instrument imaging; 
  • Geometric and radiometric properties of images and geo-referencing; 
  • Preliminary and thematic processing of images and processing levels; 
  • Methods for correcting geometric and radiometric distortion of images;
  • Remote sensing data storage formats, features of common graphical, GIS and RSD formats; 
  • Raster and vector data formats supported by the ScanMagic program; 
  • Key program technological aspects: on-the-fly swapping, on-the-fly processing, on-the-fly re-projection; 
  • Remote sensing data geographic and cartographic reference; 
  • Remote sensing data archiving and cataloguing; 
  • ScanMagic installation, configuration and interface; 
  • Features overview.
14:00 — 18:00
Day 1: Practical part
  • Creating and unloading a raster data library; 
  • Geometric correction: referencing using a rigorous sensor model; 
  • Loading GTOPO-30 and SRTM-90 data; 
  • Orthorectification; 
  • Geometric correction using RPC coefficients.
10:00 — 13:00
Day 2: Theoretical part
  • Surveying orbit parameters; 
  • Various types of survey instruments; 
  • Basic principles of modern survey instrument imaging; 
14:00 — 18:00
Day 2: Practical part
  • Creating and unloading a raster data library; 
  • Geometric correction: referencing using a rigorous sensor model; 
  • Loading GTOPO-30 and SRTM-90 data; 
  • Orthorectification; 
  • Geometric correction using RPC coefficients.
10:00 — 13:00
Day 3: Theoretical part
  • Basic approaches to correcting the geometric distortion of different types of images, taking into account peculiarities of survey instruments and terrain.
14:00 — 18:00
Day 3: Practical part
  • Automatic image coregistration; 
  • Creating mosaic coverings; 

Creating mosaic coverings with automatic tonal balancing.

10:00 — 13:00
Day 4: Theoretical part
  • Image processing levels; 
  • Enhancing and spectral conversions; 
  • Index images.
14:00 — 18:00
Day 4: Practical part
  • Enhancing spatial resolution (Image Fusion); 
  • Green and blue channel synthesis (for data without blue); 
  • Multispectral image haze compensation; 
  • Analysis of spatial object time variation (Change Detection); 
  • Arithmetic operations with raster layers, creating macros; 
  • Index image processing (creation, visualisation).
10:00 — 13:00
Day 5: Theoretical part
  • Terra/Aqua MODIS data; 
  • Simple image classification.
14:00 — 18:00
Day 5: Practical part
  • Downloading thematic products based on Terra/Aqua MODIS data; 
  • Simple image classification (Isodata); working with a raster legend; 
  • Introduction to the 3D Landscape module; 
  • Considering additional issues at the request of audience.
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