Information
Code | UA0022 |
Name | Classification Programs in Remote Sensing |
Term | 2022-2023 Academic Year |
Semester | . Semester |
Duration (T+A) | 3-1 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3.5 National Credit |
Teaching Language | Türkçe |
Level | Doktora Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal / Objective
In this course, get to know the classification programs and compare their performance.
Course Content
What is an image, the types of images taken from satellites, the closest probability, the nearest neighbor, the condensed nearest neighbor, the new algorithm "condensed nearest neighbor", the introduction and applications of programs such as ellipsoid, plant index.
Course Precondition
none
Resources
Remote Sensing
Notes
https://books.google.com.tr/books?id=OSFGd3jrUO4C&printsec=frontcover&dq=remote+sensing&hl=tr&sa=X&redir_esc=y#v=onepage&q=remote%20sensing&f=false
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | learns smallest image cell |
LO02 | Understands the differences between analog and digital images |
LO03 | what is resolution? pixel differences of satellites |
LO04 | What are the image bands of the satellites, which bands are applied for which examination, learn the differences |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. | 3 |
PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. | 4 |
PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 3 |
PLO04 | Bilgi - Kuramsal, Olgusal | The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. | |
PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research. | 2 |
PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software. | 5 |
PLO07 | Bilgi - Kuramsal, Olgusal | The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. | 5 |
PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | 4 |
PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | 2 |
PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques. | 3 |
PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development. | 2 |
PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data. | 4 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | what is image? | expression, question-answer, discussion, research | Öğretim Yöntemleri: Soru-Cevap |
2 | Description and characteristics of satellites | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım |
3 | What is analog and digital image? | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım, Gösteri |
4 | What is a pixel? | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım |
5 | What is resolution? | expression, question-answer, discussion, research | Öğretim Yöntemleri: Gösterip Yaptırma |
6 | meaning of pixel resolutions | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım |
7 | Image bands of satellites | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım |
8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
9 | With which image bands, ground objects are determined best | expression, question-answer, discussion, research | Öğretim Yöntemleri: Anlatım |
10 | Sample selection for test sites and classification | expression, question-answer, discussion, research | Öğretim Yöntemleri: Gösterip Yaptırma |
11 | training classification | expression, question-answer, discussion, research | Öğretim Yöntemleri: Gösterip Yaptırma |
12 | cluster classification | expression, question-answer, discussion, research | Öğretim Yöntemleri: Gösterip Yaptırma |
13 | introduction and applications of classification programs | expression, question-answer, discussion, research | Öğretim Yöntemleri: Alıştırma ve Uygulama |
14 | introduction and applications of the continuation classification programs | expression, question-answer, discussion, research | Öğretim Yöntemleri: Alıştırma ve Uygulama |
15 | presentation of classification programs and applications sample applications | expression, question-answer, discussion, research | Öğretim Yöntemleri: Alıştırma ve Uygulama |
16 | Term Exams | Ölçme Yöntemleri: Sözlü Sınav |
|
17 | Term Exams | Ölçme Yöntemleri: Sözlü Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
Assesment Related Works | |||
Homeworks, Projects, Others | 1 | 1 | 1 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 28 | 28 |
Total Workload (Hour) | 153 | ||
Total Workload / 25 (h) | 6,12 | ||
ECTS | 6 ECTS |