Видео

Feature Extraction from Remote Sensing High Resolution Data using AI/ML (Ex-High Tension tower, windmill, electric substation, Brick Kiln, farmbunds)

thanks much

Hello, I followed your video on remote sensing basics and image classification in the context of GIS with great interest. I find your explanations particularly clear and instructive. While watching this video, a question came to mind: do you think it would be possible to find a thesis topic with a physics emphasis that could be applied in the field of GIS, especially in the context of processing images obtained through remote sensing, or even in remote sensing itself? Although I understand that currently mathematics play a crucial role in many GIS researches, I am convinced that physical principles could also offer interesting perspectives. For example, applying the laws of physics to model light-matter interactions in satellite images, or using advanced physical concepts to improve image classification algorithms. The integration of physical models into geographic information systems for a better understanding of environmental phenomena, or even the use of concepts from quantum physics (qbits - cub sats .....)/statistical physics for innovative applications in the field of geomatics? I would be very interested in your thoughts on this topic. Do you think there are opportunities to further explore this intersection between physics and GIS in the context of academic research, with possible opportunities to conduct experiments in a laboratory, for example, to improve acquisition methods (such as LIDAR)? Thank you again for the time you devote to sharing your knowledge and experience on your RUclips channel. Best regards, AOUINATOU OUSSAMA

Your explanation is very helpful and excellent. Thank you so much!

The idea that a NN is not a regressor or classified but a representation learner was profound to me! As a math major, this is the first time ML and NN has been explained in a way that is satisfying and intuitive

This is a really really awesome tutorial! I appreciate your efforts in making such amazing lessons. These lessons provide not only knowledge but also a bunch of organized theories of remote sensing. Thank you very much!

Thanks

Thank you for puting the lecture here !!!

Thank you

Is there a way to get the course material/data to complete it on our own?

Thank you for sharing this course, But we need the practical part for more understanding

Another amazing course. Thanks for sharing your courses for free on RUclips.

Thanks for sharing. Quite useful.

Thanks a lot. Very helpful and easy to follow for beginners.

Thanks so much for uploading this lecture. Coincide with I am learning at the moment about XAI for Earth Observation. Hopefully can get a PhD opportunity in this field.

Great presentation with many useful information!

Nice. You are welcome to watch my playlist : ruclips.net/p/PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD Eran

Thanks a lot for uploading your lecture !! Not currently a student but considering to do a masters in GIS :)

Thank you sooooooooooo much for providing this valuable resource!! It means alot; i will make sure to share it with my friends.

Thanks a lot for simplified tutorial. Hope for the practical tutorial in future.

it great and useful webinar ,you are going to continue🙂

Please can you by special request do a practical video on how to implement these in the python language

This is quite interesting and informative. Thanks for providing this stuff

EXCELLENT LECTURE!!

you are so great!!! your video is very inspiring!

are these basics applicable for both GIS and QGIS?

Thank you for sharing this kind of video its more informative and covers the basics of AI and DL

Excellent lecture! Thanks for sharing .... :)

It excellent lecture, I thank you

Pefectly explained. congratulations Ribana

can i get the presentation slides or a pdf file of the whole tutorial? nice tutorial i like it

very informative. Thank you alot

Thanks dear Ribana, it's helpful!

Very nice lecture. Can I share your show your RUclipss to my students?

Muchísimas gracias!

Hi. The tanh activation formula seem to have a problem

thank you please can explain about extraction feature of offline signature

Please, how do create remotely sensed image patches for training. Thanks

Very grateful

Thank you for this.

Thank you for uploading your file. Very useful in my class in remote sensing.

Thank you for uploading your file about the discussion of remote sensing image analysis and interpretation. Very informative!

Looking for practical sections. Love the series!

very very useful

Thankyou for your valuable lecture and I would like to ask you help about how to map a mineral at a specific area through satellite image interpretation before travelling to site as i am exploration geologist

Very Simple Explanation. Thank You

Very useful lecture for the beginners! Nicely explained in an easy language. Thank you so much for sharing!

Hey is your code open source?

Machine learning in forest remote sensing, +1, please

Thank you so much