Khadidja Bakhti

Orcid: 0000-0002-2836-3511

According to our database1, Khadidja Bakhti authored at least 12 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Stadium Detection From Alsat-2 and Google-Earth Multispectral Images using YOLOv5 and Mask R-CNN.
Proceedings of the 4th International Conference on Pattern Analysis and Intelligent Systems, 2022

Unsupervised Multispectral Remote Sensing Change Detection by Maximizing Mutual Information Across Views.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Multitask Convolutional Neural Network for Crop Quality Vegetation Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Band Independent Residual Networks for Optical Remote Sensing Images Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning Image Downscaling for Pansharpening Using an Improved UNet.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Cross Residual Fusion for Pansharpening.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Comparing Deep Recurrent Learning and Convolutional Learning for Multi-Temporal Vegetation Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
Transfer Learning for Changes Detection in Optical Remote Sensing Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Very High Resolution Image Scene Classification with Capsule Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Improvememt of multi-temporal vegetation modeling using hybrid deep neural networks of multispectral remote sensing images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A New Scheme for Citation Classification based on Convolutional Neural Networks.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Citation Function Classification Based on Ontologies and Convolutional Neural Networks.
Proceedings of the Learning Technology for Education Challenges, 2018


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