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The Art of Thematic Interpretation: Seminar Program

19 - 23 September 2022
60 000
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.
Programm Certificates Contacts
19 September 2022 — The Art of Thematic Interpretation: Seminar Program
10:00 — 18:00
Day 1Theoretical part
10:00 — 18:00
Day 2 Test assignments on the theoretical part. Practical part
10:00 — 18:00
Day 3 Test assignments on the practical part Practical part
10:00 — 18:00
Day 4 Test assignments on the practical part Practical part
10:00 — 14:00
Day 5 Test assignments on the practical part Practical part
14:00 — 18:00
Summing up training results
The Art of Thematic Interpretation.pdf
The Art of Thematic Interpretation: Seminar Program

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


10:00 — 18:00
Day 1Theoretical part
  • Satellite imagery and its features
  • Satellite imagery classification by key properties;
  • The current database of satellite images;
  • Satellite imagery processing levels;
  • Satellite imagery pre-processing methods: radiometric correction, geometric normalization;
  • Methods and tools of satellite imagery further processing: improvement of spatial resolution, synthesis of additional channels, enhancements and atmospheric correction;
  • The products of satellite imagery processing;
  • Application areas and possible use of satellite imagery;
  • Preliminary image analysis required for data decryption;
  • Key methods and approaches to satellite imagery decryption: visually interactive and automatic decryption;
  • Algorithms of automated satellite imagery classification: per-pixel and object-oriented classification;
  • Additional methods and tools of decryption;
  • General technology chain of satellite imagery thematic processing.
    • 10:00 — 18:00
    Day 2 Test assignments on the theoretical part. Practical part
  • Getting familiar with the software interface;
  • Operations with the histogram tool;
  • Operations with the raster sampling (statistical analysis) tool;
  • Satellite image classification by the method of spectral non-learning per-pixel classification;
  • Creation of learning classification standards;
  • Satellite image classification based on feedforward neural networks;
  • Satellite image classification based on the method of pre-trained self-organizing neural networks;
  • Managing the display and representation of the neural network, preliminary assessment of a created neural network and classification quality;
  • reating a thematic legend and the system of hierarchical classes;
  • Vectorization and rasterization of classification results, saving classification results.
    • 10:00 — 18:00
    Day 3 Test assignments on the practical part Practical part
  • Fine-tuning and setup of a neural network, operating neural networks with different settings;
  • Assessment of results generated by neural networks with different settings;
  • Thematic calibration of a neural network, creating standards for the thematic calibration of a neural network;
  • Post-processing of neural classification results through local image texture analysis;
  • Assessment of calibration and post-processing results;
  • Segmentation of a multi-channel satellite image;
  • Post-processing of satellite imagery classification results;
  • Local transcoding of satellite imagery classification results.
    • 10:00 — 18:00
    Day 4 Test assignments on the practical part Practical part
  • Image classification based on direct channel analysis with the use of legend tools;
  • Binary classification;
  • Detection of variations in multi-temporal data though the use of Single Channel Change Detection tool;
  • Detection of variations in multi-temporal data though the use of Multi-Single Channel     Change Detection tool;
  • Detection of variations in multi-temporal data though the use of a multi-temporal composite;
  • Additional methods of per-pixel imagery classification offered by the software.
    • 10:00 — 14:00
    Day 5 Test assignments on the practical part Practical part
  • Thematic image analysis based on the computation of indexed properties;
  • Satellite image classification based on the multi-temporal raster composite of indexed properties;
  • Analysis of a digital elevation model (DEM).
    • 14:00 — 18:00
    Summing up training results
  • Individual assignments;
  • Students’ questions and answers;
  • The award of certificates to acknowledge the successful completion of the “Art of Thematic Interpretation” training course.
    • Удостоверение государственного образца Удостоверение государственного образца
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