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2020 – today
- 2023
[j8]Vlad Vasilescu
, Mihai Datcu, Daniela Faur:
Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)- [j7]Iulia Calota, Daniela Faur, Mihai Datcu:
Dimensionality Reduction of Deep Learning for Earth Observation: Smaller, Faster, Simpler. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4484-4498 (2023) - [j6]Iulia Coca Neagoe, Daniela Faur, Corina Vaduva, Mihai Datcu:
Band Reconstruction Using a Modified UNet for Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6739-6757 (2023) - [j5]Vlad Vasilescu, Mihai Datcu, Daniela Faur:
A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c19]Mihai Datcu, Daniela Faur, Eden Mamut, Ion Nedelcu, Constanin Ionescu, Liviu Miron:
Digital Twin Earth for Climate Change Adapation: An AI based Federated System. IGARSS 2023: 1392-1395 - [c18]Corina Vaduva, Daniela Faur, Alexandru-Cosmin Grivei, Vlad Vasilescu, Mihai Datcu:
A Latent Analysis of A Super-Resolved Sentinel-2 Data Cube For Green Urban Infrastructure Health Monitoring. IGARSS 2023: 5700-5703 - [c17]Andreea Griparis, Anamaria Radoi, Daniela Faur, Mihai Datcu:
Visual Exploration of Satellite Image Time Series. IGARSS 2023: 7175-7178 - [d1]Daniela Faur, Andreea Griparis, Alexandru-Cosmin Grivei, Corina Vaduva, Vlad Vasilescu, Mihai Datcu:
Sentinel 2 super-resolved data cubes - 92 scenes over 2 regions in Switzerland spanning 5 years. IEEE DataPort, 2023
- 2022
- [c16]Iulia Calota, Daniela Faur, Mihai Datcu:
Estimating NDVI from SAR Images Using DNN. IGARSS 2022: 5232-5235 - 2021
- [c15]Iulia Calota, Daniela Faur, Mihai Datcu:
Bag-of-Words for Transfer Learning. IGARSS 2021: 808-811 - 2020
- [c14]Andreea Griparis, Daniela Faur, Mihai Datcu:
DR-KNN: A Hybrid Approach for Dimensionality Reduction of EO Image Datasets. IGARSS 2020: 2719-2722 - [c13]Iulia Calota, Daniela Faur, Mihai Datcu:
DNN-Based Semantic Extraction: Fast Learning from Multispectral Signatures. IGARSS 2020: 3672-3675 - [c12]D. I. Sacaleanu, M. Adamescu, Daniela Faur, C. Cazacu, Bogdan Cristian Florea, Andreea Griparis, Tudor Racoviceanu, R. Giuca:
Integrated Platform for Ecosystems Monitoring Based on Remote and in Situ Measurements. IGARSS 2020: 4271-4274
2010 – 2019
- 2019
- [c11]Daniela Faur, Andreea Griparis, Adrian Stoica, Philippe Mougnaud, Mihai Datcu:
An Interactive Visual Analytics Tool for Big Earth Observation Data Content Estimation. IGARSS 2019: 9518-9521 - 2018
- [c10]Iulia Coca Neagoe, Daniela Faur, Corina Vaduva, Mihai Datcu:
Exploratory Visual Analysis of Multispectral EO Images Based on DNN. IGARSS 2018: 2079-2082 - 2017
- [j4]Andreea Griparis, Daniela Faur, Mihai Datcu:
Quantitative Evaluation of the Feature Space Transformation Methods Used for Applications of Visual Semantic Clustering of EO Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2902-2909 (2017) - [c9]Andreea Griparis, Daniela Faur, Mihai Datcu:
Evaluation of Dimensionality Reduction Methods for Remote Sensing Images Using Classification and 3D Visualization. ACIVS 2017: 203-211 - 2016
- [j3]Andreea Griparis, Daniela Faur, Mihai Datcu:
Dimensionality Reduction for Visual Data Mining of Earth Observation Archives. IEEE Geosci. Remote. Sens. Lett. 13(11): 1701-1705 (2016) - [c8]Andreea Griparis, Daniela Faur, Mihai Datcu:
A dimensionality reduction approach to support visual data mining: Co-ranking-based evaluation. COMM 2016: 391-394 - [c7]Andreea Griparis, Daniela Faur, Mihai Datcu:
A dimensionality reduction approach for the visualization of the cluster space: A trustworthiness evaluation. IGARSS 2016: 2917-2920 - 2015
- [j2]Corneliu Octavian Dumitru, Shiyong Cui, Daniela Faur, Mihai Datcu:
Data Analytics for Rapid Mapping: Case Study of a Flooding Event in Germany and the Tsunami in Japan Using Very High Resolution SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 114-129 (2015) - [c6]Andreea Griparis, Daniela Faur, Mihai Datcu:
Feature space dimensionality reduction for the optimization of visualization methods. IGARSS 2015: 1120-1123 - [c5]Daniela Faur, Mihai Datcu:
A rapid mapping approach to quantify damages caused by the 2003 bam earthquake using high resolution multitemporal optical images. MultiTemp 2015: 1-4 - 2014
- [c4]Carmen Patrascu, Daniela Faur, Anca Andreea Popescu, Mihai Datcu:
Class evolution data analytics from sar image time series using information theory measures. ICIP 2014: 91-95 - 2012
- [c3]Anca Andreea Popescu, Corina Vaduva, Daniela Faur, Inge Gavat, Mihai Datcu:
A remote sensing image processing framework for damage assessment in a forest fire scenario. EUSIPCO 2012: 2496-2500
2000 – 2009
- 2009
- [j1]Daniela Faur, Inge Gavat, Mihai Datcu:
Salient Remote Sensing Image Segmentation Based on Rate-Distortion Measure. IEEE Geosci. Remote. Sens. Lett. 6(4): 855-859 (2009) - 2008
- [c2]Corina Vaduva, Daniela Faur, Anca Andreea Popescu, Inge Gavat, Mihai Datcu:
Semantic Map Generation from Satellite Images for Humanitarian Scenarios Applications. ACIVS 2008: 808-817 - 2005
- [c1]Daniela Faur, Inge Gavat, Mihai Datcu:
Mutual Information Based Measure for Image Content Characterization. CAEPIA 2005: 342-349
Coauthor Index
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