Comments (6)
Well, that's a blunt style of message ;)
MAJA is a recurrent algorithm (iteration n needs iteration n-1 as input), that you need to initialise somehow. So there are two initialisation modes proposed, Init mode, and backward mode.
The quality with backward mode is much better, and start MAJA only uses backward mode.
Within Start_MAJA, you still could change the number of images to use in the backward mode, but it is hardcoded (shame on me) It is almost the last line of Start-MAJA
nb_backward = 8
You can reduce this number to 1 or 2 (I am not fully sure it works with 1), but it will definitely degrade the data quality.
I am curious about why you would need to skip the backward mode, in more than a word ;)
Best regards,
Olivier
from maja.
Hi, Olivier and thank you for explanations!
I think it's me who is a little bit blunt not only message...
I'll try to explain my case but I'm not sure it is relevant.
I need input data for crop mask, crop type classification algorithm (now we try sen2agri ready to go L4 proccessors and in future may be something coded by ourselves). I see that on one side, calculation of L2A from L1C is very tough computational operation on the other side Sentinel 2 L2A products with cloud-shadow masks are provided on SciHUB and Amazon.
So I'm interested in testing sen2agri with input data quality like L2A from SciHUB.
from maja.
Thanks for the describing your use case ! I was above all wondering why you would like to use MAJA without backward mode ?
MAJA is computationally intense, but it pays off with the quality of products
Olivier
from maja.
Olivier,
may I ask you if it's appropriate, may be you are aware of it - what particular path (file or dir) from output MAJA (3.3.0) should be put into "-input" parameter to run CropMaskFused.py script (run L4a proccessor of sen2agri in manual mode) ?
from maja.
Hi,
you should ask that in the sen2agri Forum, here, we can't answer
https://github.com/Sen2Agri/Sen2Agri-System
Olivier
from maja.
Ok!
from maja.
Related Issues (20)
- How to install MAJA 4 in Ubuntu 20.04 and Docker HOT 3
- [best practices] Processing by orbit HOT 11
- Using StartMaja with MAJA v3.2.2 HOT 1
- Solution for the error happening in case you try to use CAMS (if "NbNonInterpolate" in self._beforeFile.keys(): 'NoneType' object has no attribute 'keys') HOT 3
- Testing MAJA - Where to get "MAJA-DATA" and "MAJA-Validation"? HOT 1
- Github vs gitlab - which MAJA code should I use? HOT 3
- What are the differences between StartMaja scripts on different repositories? HOT 1
- License confusion HOT 2
- Access denied HOT 11
- Xml encoding in xml_tools.py HOT 2
- SRTM download link doesn't respond HOT 5
- Optimal parameters to get the best results (advice needed) HOT 10
- Inputs do not occupy the same physical space HOT 5
- CMake error for EXPAT when compiling MAJA HOT 11
- [best practices] Optimal parameters for rain forest region HOT 4
- Cmake error for GDAL while compiling MAJA
- SameFileError when processing with StartMaja HOT 1
- Repository no more active, please use MAJA's Forum for issues
- Directory of input files as symbolic links
- Maja creates L2A level data with empty cloud masks & 0 instead of -10000 for each band HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from maja.