From 645b11fb986090399954d38829f50e0147a9a919 Mon Sep 17 00:00:00 2001 From: Cresson Remi <remi.cresson@irstea.fr> Date: Wed, 29 May 2024 15:45:04 +0200 Subject: [PATCH] Update file index.md --- doc/index.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/doc/index.md b/doc/index.md index 60f97946..743cce0b 100644 --- a/doc/index.md +++ b/doc/index.md @@ -99,7 +99,8 @@ Every one can **contribute** to OTBTF. Just open a PR :) ## Additional resources -- The [otbtf/keras tutorial](https://github.com/remicres/otbtf_keras_tutorial) shows how to create a dataset, build, train, evaluate, and apply a model to perform semantic segmentation of a remote sensing image, +- The big [otbtf/keras tutorial](https://orfeo-toolbox.pages.mia.inra.fr/otbtf-keras-tutorial/) shows how to perform patch-based classification, semantic segmentation, layer freeze, fine tuning, and an introduction to generic image processing tasks with deterministic super-resolution. It involves STAC and [pyotb](https://github.com/orfeotoolbox/pyotb). It is basically an update of the book (see below) but 100% python/keras/pyotb, and free. We also have hosted the data so you don't need to ask for Spot-6/7 images on the Airbus website! +- The small [otbtf/keras tutorial](https://github.com/remicres/otbtf_keras_tutorial) shows how to create a dataset, build, train, evaluate, and apply a model to perform semantic segmentation of a remote sensing image, - The [*test* folder](https://github.com/remicres/otbtf/tree/master/test/) of this repository contains various use-cases with commands, python codes, and input/baseline data, @@ -108,7 +109,7 @@ learn how to use OTBTF with OTB and QGIS to perform various kind of deep learning sorcery on remote sensing images (patch-based classification for landcover mapping, semantic segmentation of buildings, optical image restoration from joint SAR/Optical time series): *Cresson, R. (2020). Deep -Learning for Remote Sensing Images with Open Source Software. CRC Press.* +Learning for Remote Sensing Images with Open Source Software. CRC Press.*. - A small [tutorial](https://mdl4eo.irstea.fr/2019/01/04/an-introduction-to-deep-learning-on-remote-sensing-images-tutorial/) on MDL4EO's blog - Check [our repository](https://github.com/remicres/otbtf_tutorials_resources) containing stuff (data and models) to begin with! -- GitLab