Deep Learning finds its applications in various domains , in that Remote Sensing (RS) is one . We can do various tasks of RS using Deep Learning models rather using customized models .
Since the state-of -the art deep leaning is a booming subject and a lot of research work has been going on in this domain, using Deep learning knowledge we are in a position that we make RS tasks complete . For this we need the base which is nothing but " DATA" .
So, can anyone suggest me
1) how to get the Remote Sensed data ??
2) what are the hardware requirements that a processing unit (Computer Processor) must posses ??
3) what are the different data formats and how we convert that into normal data ????
Please read the work by
Carry Rappaport
from
Northeastern University
Boston, MA
USA
Thank you Sobih ,
can you share that paper because I couldn't find anything related to my question....
Dear Maddi,
I suggest you to follow : https://geoawesomeness.com/list-of-top-10-sources-of-free-remote-sensing-data/ for data.
Read also https://ntrs.nasa.gov/search.jsp?R=19900062611
https://s3.amazonaws.com/academia.edu.documents/46825620/Hyypp_J._H._Hyypp_M._Inkinen_M._Engdahl_20160627-15453-38o4dg.pdf?response-content-disposition=inline%3B%20filename%3DAccuracy_comparison_of_various_remote_se.pdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWOWYYGZ2Y53UL3A%2F20200304%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20200304T122335Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=e32ce1cfe54f13a807dafe199e5d3c402617318fc7021f4b3066b0b6dd0b03a1
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