Lectures
Lecture1_1_TiFII_2012.pdf
Lecture2_1_TiFII_2012.ppt
Lecture3_1_TiFII_2012.pdf
Lecture4_1_TiFII_2012.pdf
Lecture5_1_TiFII_2012.pdf
Lecture6_1_TiFII_2012.pdf
test_image.rar - ILWIS data for mmanual image classification
test_xls.rar - corresponding xls file
Lecture7_1_TiFII_2012.ppt
Lecture8_1_TiFII_2012.pdf
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IN 2016 STOP HERE!!!!
collinearity equation xls
Riegl TLS
Introduction to Terrestrial Laser Scanning
Details_concerning_exam_2013_01.tif
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LABORATORIES
Laboratory1 - Introduction to ILWIS – Chapter01 (3h)
http://twiki.fotogrametria.agh.edu.pl/pub/Dydaktyka/RemoteSensingDocumentsforStudents/Chapter_01.pdf
data1
HOMEWORK - Main concepts of ILWIS – Chapter02 (pages: 27- 70)
Chapter02
data_2
Laboratory2 - Landsat satellite image – initial analysis (3h)
Chapter06 content
Chapter_06.pdf
Laboratory 2.doc
Laboratory3 - Landsat satellite image – supervised classification
Laboratory 3.doc
Laboratory4 - Landsat satellite image – quantitative analysis
Laboratory 4.doc
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IN 2016 STOP HERE!!!!
Laboratory5 - Photomap creation
Laboratory 5.doc
Laboratory6 - Orthophotomap creation 5
Laboratory 6.doc
Laboratory7 - Airborne model orientation, 3D - e-foto http://www.efoto.eng.uerj.br/en
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EXAM – theoretical questions:
1. Digital image – definition, DN, mininum metadata, formats
2. Histogram – definition, graphic presentation, statistics
3. Histogram stretching, linear, with saturation, color composition
4. Landsat system, resolution: spatial, radiometric, spectral and temporal
5. Bilans of the electromagnetic energy on the earth ( coefficients: reflection, scattering, transmition, absorbtion, emissivity)
6. Interaction of EM radiation in the atmosphere (atmospheric windows)
7. Spectral curve: definition, exapmples: water, vegetaion, soil
8. Automatic image classification: steps, argorithms (box, mindist, maxlike), accuracy assessment
9. Albedo calculation for Landsat images
10. Temperature calculation from Landsat image: Planck's, Wien's, Stefan-Boltzman's law, radiant and kinetic temperature
EXAM – practical excercises (ILWIS):1. Image histogram, stretching, color composite
2. Supervised classification (also manually)
3. Accuracy analysis