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Introduction to Remote Sensing: verschil tussen versies

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Nieuwe pagina aangemaakt met '{{Infobox|data2=Canters Frank|data3=Lectures|data4=50% on written exam; 50% on report|data6=6|header1=Courses and exams|header5=Background|headerstyle=background:lightgrey|label2=Prof|label3=Courses|label4=Examination|label6=Credits|label7=When?|data7=1st semester|label8=ECTS|data8=[https://caliweb.vub.be/?page=course-offer&id=006507&anchor=1&target=pr&year=2324&language=en&output=html Link]|title=Course Information}} == 2024 == === January ==='
 
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== 2024 ==
== 2024 ==
=== January ===
=== January ===
# Explain NDVI. Why can it be used to map biomes. Which sensors can be used to map this biomes (spectral + spatial characteristics)?
# What is off-nadir viewing. What are the advantages and the disadvantages?
# Explain Multiple Layer Perceptron in detail. What are the (dis)advantages compared to Maximum Likelihood? What is 'overtraining' and how would you solve this for a MLP?
# What is Multidate composite image change detection? Explain the difference between supervised and unsupervised.
# How are you?

Versie van 11 jan 2024 17:29

Course Information
Courses and exams
ProfCanters Frank
CoursesLectures
Examination50% on written exam; 50% on report
Background
Credits6
When?1st semester
ECTSLink

2024

January

  1. Explain NDVI. Why can it be used to map biomes. Which sensors can be used to map this biomes (spectral + spatial characteristics)?
  2. What is off-nadir viewing. What are the advantages and the disadvantages?
  3. Explain Multiple Layer Perceptron in detail. What are the (dis)advantages compared to Maximum Likelihood? What is 'overtraining' and how would you solve this for a MLP?
  4. What is Multidate composite image change detection? Explain the difference between supervised and unsupervised.
  5. How are you?