Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring - Supplementary material

This repository contains the supplementary material for the paper "Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring". The paper is currently under revision. This repository will be updated once the paper will be published. In particular the repository includes: The datasets used for performing the multi-temporal stereoscopic analysis of the Belvedere Glacier during the summer season 2022. The code of ICEpy4D v1.9.0 used for processing the stereoscopic data. An updated version of ICEpy4D can be found in the Github repository https://github.com/franioli/icepy4d本仓库为论文《面向4D短期冰川动力学监测的低成本深度学习摄影测量》提供补充材料。该论文目前处于返修阶段，待论文正式发表后，本仓库将进行更新。 具体而言，本仓库包含以下内容： 2022年夏季用于贝尔韦代雷冰川（Belvedere Glacier）多时序立体分析的数据集； 用于处理立体数据的ICEpy4D v1.9.0版本代码。该工具的更新版本可在GitHub仓库https://github.com/franioli/icepy4d中获取。