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A SEMANTIC SEGMENTATION FOR SGM USING AN AUTOMATICALLY REFINED NEURAL NETWORK

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Pandora plugin ARNN

Automatically Refined Neural Network (ARNN) plugin for .

Python

Contributions welcome

OverviewRequirementsFeaturesQuick StartDocumentationContributionReferences

Overview

Pandora_plugin_arnn aims to computes a building segmentation map using pre-trained neural network, and allows to automatically refine the prediction of the neural network.

Install

Usage

Let's refer to Pandora's readme or online documentation for further information about Pandora general functionalities. More specifically, you can find :

Configuration file example

Related

References

Dumas, L., Defonte, V., Steux, Y., & Sarrazin, E. (2022). IMPROVING PAIRWISE DSM WITH 3SGM: A SEMANTIC SEGMENTATION FOR SGM USING AN AUTOMATICALLY REFINED NEURAL NETWORK. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 167-175.

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