4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

Author:

Giannopoulos Michalis1,Tsagkatakis Grigorios1,Tsakalides Panagiotis1

Affiliation:

1. University of Crete,Department of Computer Science,Heraklion,Greece,70013

Funder

Hellenic Foundation for Research and Innovation

Publisher

IEEE

Reference20 articles.

1. End-to-end learning of deep spatio-temporal representations for satellite image time series classification;di mauro;DC PKDD/ECML,2017

2. Deep learning based multi-temporal crop classification

3. Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

4. Convolutional lstms for cloud-robust segmentation of remote sensing imagery;rußwurm,2018

5. 4d cnn for semantic segmentation of cardiac volumetric sequences;myronenko;International Workshop on Statistical Atlases and Computational Models of the Heart,2019

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1. Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting;Remote Sensing;2024-06-04

2. One-Shot Neural Band Selection for Spectral Recovery;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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