Classification of Hyperspectral Images using Machine Learning

Gabriel Dauphin

gabriel.dauphin@univ-paris13.fr

Virtual Desktop

https://drive.google.com/drive/folders/1eAEXhFNZlJC8IMtK6rP3jRWN7sfCQG11?usp=sharing

• Course 1

An introduction to hyperspectral images.

To do:

A.1 Please fill your name in Lecture Attendance

a. Open a webbrowser and paste https://docs.google.com/document/d/1TGooB4GPrBqOmXDaRo_jSICQhMAaqPlX2GNmpwmF6ek/edit?usp=sharing

b. Add a new line to the first table by clicking the mouse with the right button

A.2 If you are volunteering to be a close contact and to share with me your personal Whatsapp phone number, please fill the first table of Lecture Attendance

A.3 Complete Progress below line 13

On the first column, you should add your name with

A.4 assignment1.pdf is to be done before Wednesday 13h. The precise work to be done depends on Progress.

A.5 content1.pdf and content1.htm could be useful to do the assignment. Access to content in content1.htm is granted

only if you give your true IP address by email at gabriel.dauphin@gmail.com. This IP address can be found with https://www.myip.com/

Example of answers: project0a.pdf, reviewer0a.pdf, project0A.zip (built using project0a.tex and bib.bib, note that Word or any other software could be used.)

Example of Wikipedia page on the Hyperion Earth observation satelliteEarth_Observing-1.pdf

• Course 2

An introduction to Machine Learning.assignment2.pdf content2.pdf content2.htm

Matlab Tutorial matlab.htm

• Course 3

Data splitting for binary classification.assignment3.pdf content3.pdf content3.htm lecture3.docx

• Course 4

ROC curves and linear classifiers for binary classifications assignment4.pdf content4.pdf content4.htm lecture4.txt

• Course 5

Loss functions in the binary classification context

Extending linear classification to the multiclass context assignment5.pdf content5.pdf content5.htm lecture5.txt

• Course 6

Extending splitting to the multiclass context

Training decision trees assignment6.pdf content6.pdf content6.htm lecture6.txt

• Course 7

Building new features to be used by linear classifiers

K Nearest Neighbor Algorithm

Using a validation data set to address the overfitting issue assignment7.pdf content7.pdf content7.htm specialX.png specialY.png lecture7.txt

• Course 8

Ensemble classifiers assignment8.pdf content8.pdf content8.htm lecture8.txt

Virtual Desktop

https://drive.google.com/drive/folders/1eAEXhFNZlJC8IMtK6rP3jRWN7sfCQG11?usp=sharing

Lecture Attendance

https://docs.google.com/document/d/1TGooB4GPrBqOmXDaRo_jSICQhMAaqPlX2GNmpwmF6ek/edit?usp=sharing

Progress

https://docs.google.com/spreadsheets/d/16xZ9af_kchAAO2F_N4isp01Ggk0fNucT9_F6OD9wE8E/edit?usp=sharing

Questions

https://docs.google.com/document/d/1Dl9po0020Lk1WnxsvrSagvMt2QB82k_6maLfABKhUoQ/edit?usp=sharing

Discussions

https://docs.google.com/document/d/1mG142s4d7RAW6xxHCt9sHBO6ql58zWcDmDvjnFq-g5k/edit?usp=sharing

Virtual Board

https://docs.google.com/document/d/1U92QgRpVGGhZsqA3piVBT0Km8WZCLoXXbesuNF9rOaE/edit?usp=sharing

Dictionary (English-Chinese)

https://docs.google.com/document/d/1iG25IqusxOIdMDKidP0QZ-7h1Rk8neYOy32FjVinW-U/edit?usp=sharing

Folder for Assignment1 (signing in seems to be required to upload documents)

https://drive.google.com/drive/folders/1UW8518QcegUeq-DhnWS7asTlQVXfzy-r?usp=sharing

Folder for Assignment2

https://drive.google.com/drive/folders/1akfUKAIdQCSHuMNfJ_cXtTCFlEUDNKfG?usp=sharing

Folder for Assignment3

https://drive.google.com/drive/folders/19m2IT4WNI2tSt71IVVGQ5VauEHOUZ47A?usp=sharing

Folder for Assignment4

https://drive.google.com/drive/folders/1epOEgtuAh8RvMYtEtHaKsiynTdB1MwYS?usp=sharing

Folder for Assignment5

https://drive.google.com/drive/folders/1prcEiyhiM6bx5lv4_QFe0lV3OrdHD11n?usp=sharing

Folder for Assignment6

https://drive.google.com/drive/folders/1rcj8sriXtW9C5_aRBKvw-WPZhgbBPJjU?usp=sharing

Folder for Assignment7

https://drive.google.com/drive/folders/1e3Cai8pnniBBsv5XrsfVN8LkCs7QF3W7?usp=sharing

Folder for Assignment8

https://drive.google.com/drive/folders/1IRfSq0rcsotlpq86M5VrUiXw1SV2BGZ3?usp=sharing