Course Objectives: |
The concept of remote sensing and its uses, types of imaging, basics of remote sensing, electromagnetic radiation, spectrum, interaction of energy with atmospheres and objects, basic process steps of image processing in remote sensing, classification and information extraction. |
Course Content: |
Basic concepts, Data and image types in remote sensing, Radar, SAR, IfSAR concepts, Lidar technology, Geometric corrections in satellite images, Image enrichment, histogram and positional filters, Analysis of classification accuracy |
Week |
Subject |
Related Preparation |
1) |
Introduction to remote sensing, places where it is used, basic concepts |
Lecture Notes |
2) |
Types of remote sensing, differences according to each other |
Lecture Notes |
3) |
EMR, spectrum, interaction of the order with the atmosphere and objects |
Lecture Notes |
4) |
Data and image types, resolutions in remote sensing, image bands with Erdas Imagine |
Lecture Notes |
5) |
Radar, SAR, IfSAR concepts, Lidar technology |
Lecture Notes |
6) |
4 basic processing steps in image processing, radiometric corrections |
Lecture Notes |
7) |
The application of atmospheric correction with ATCOR software and the importance of atmospheric correction |
Lecture Notes |
8) |
Midterm Exam |
none |
9) |
Geometric corrections in satellite images, application with Erdas Imagine software |
Lecture Notes |
10) |
Image enrichment, histogram and positional filters |
Lecture Notes |
11) |
Objectives of image conversion functions, NDVI and PCA |
Lecture Notes |
12) |
Applications with supervised and unsupervised classification and Erdas Imagine |
Lecture Notes |
13) |
Analysis of classification accuracy |
Lecture Notes |
14) |
Object-based image classification and application with Erdas Imagine |
Lecture Notes |
15) |
Final Exam |
none |
16) |
Final Exam |
none |
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Program Outcomes |
Level of Contribution |
1) |
He/she knows main topics about profession with also has knowledge and awareness about social resposibility, ethical values and princibles of profession. |
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2) |
He/she has knowledge about basic mathematichal computing and problem solving about the issues of profession. |
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3) |
He/ she has knowledge about algorithm, basic programming, data structures and types, database management systems spatial database for operation of the software which are required by profession. |
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4) |
He/she has knowledge about all measurement, calculation, and exercising in the fields of survey and cadastre. |
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5) |
He/she has knowledge about legislation, ability of follow the changes and has command of the process in the fields of survey and cadastre. |
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6) |
He/she has ability to use technological tools and programs, know working and scientific principles of these technology that existed in profession area |
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7) |
He/she knows main topics, expertising, legislation and urban reneval issues about real estate. |
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8) |
He/she has command of application all kinds of engineering project to area. |
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