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Avis et commentaires pour d'étudiants pour Remote Sensing Image Acquisition, Analysis and Applications par UNSW Sydney (université de Nouvelle-Galles du Sud)

4.5
étoiles
44 évaluations
14 avis

À propos du cours

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. It assumes no prior knowledge of remote sensing but develops the material to a depth comparable to a senior undergraduate course in remote sensing and image analysis. That requires the use of the mathematics of vector and matrix algebra, and statistics. It is recognised that not all participants will have that background so summaries and hand worked examples are included to illustrate all important material. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. It will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics....

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1 - 14 sur 14 Avis pour Remote Sensing Image Acquisition, Analysis and Applications

par Frank L

23 nov. 2020

Well explained - but I already have an image processing background. Providing a bibliography/list of references at the introduction of each lecture could be helpful (as in reading ahead of the lecture).

par Francesco R

21 avr. 2021

Very difficult to follow. Material is very technical and the lecturer simply reads from the slides. The volume of the recording is very low as well.

par Anze M

21 mars 2021

This course provides a good base upon which you can build your remote sensing knowledge. It helps if you already have a background in CS or maths (preferably a degree in one of those two fields). Starting in the second third of the course, the lectures fluctuate between very easy going to profound mathematics. Don't be fooled by the week time needed estimations - following this estimations you will get just a basic understanding, which will be enough to complete the quizzes, but for a better understanding of lecture material, be prepared to invest 2x the estimated time.

par Susanne R

27 oct. 2020

In my opinion, this course was a bit too mathematical and monotonous, the professor for sure knows what he is talking about but after having finished the course, I am missing a few more examples of how to use the concepts in practice / with a software.

par Dario V

18 mai 2021

The course comprehensively covers the domains of remote sensing and associated machine learning techniques and has aided me significantly in putting those techniques in practice for my startup endeavor.

Professor Richards is an amazing lecturer and the classes are very well structured and presented.

par Mary R L

26 nov. 2020

The quizzes are difficult for me. Im just relieved that theres no computations in the quizzes. But i learned a lot. Theres a lots of technical stuff so theres a need to read more about the weekly lectures.

par Ghada S

16 juin 2021

A bit challenging but very insightful!

par Mohd A b A

3 mai 2021

I learn more about remote sensing.

par King V

13 juin 2021

The course should add practice exercise for gaining more understanding to the course

par Haritha H P

20 juin 2021

Though the course is interesting, it would have been much better if the instructor was present while explaining the concepts which would give a classroom effect.

par Lenis G

30 août 2021

Excelente curso. Introduce los sensores remotos como herramientas en la interpretación de la superficie terrestre de acuerdo al área de aplicación, haciendo énfasis en la geología y la agricultura.

par Hrishil V

23 nov. 2021

Really enjoyed the learning experience and was very concise!

par Aik J R

25 juil. 2021

The course contents cover Remote Sensing but since the mentor is just like reading, just show the scripts, it's so boring. It will be better and perfect the practical exercises are added. And the course title should be changed to "Mathematical Calculations and Machine Learning in Remote Sensing". The beginner of Remote Sensing should not choose this course.

par Darcy J G

30 sept. 2021

Very difficult to understand in the online format.