Dionisio Rodríguez Esparragón

Research interests: 
  • Generation and analysis of remote sensing operational products applied to oceanography, climate change and environment.
  • Multispectral, multitemporal and multiresolution processing of images provided by Earth observation satellites.
  • Audiovisual and multimedia engineering.

Recent publications

Marcello, J., Eugenio, F., Gonzalo-Martín, C., Rodríguez-Esparragón, D., Marqués, F., 2020. Advanced Processing of Multiplatform Remote Sensing Imagery for the Monitoring of Coastal and Mountain Ecosystems. IEEE access, 9, 6536-6549. https://doi.org/10.1109/ACCESS.2020.3046657

Marrero-Betancort, N., Marcello, J., Rodríguez-Esparragón, D., Hernández-León, S., 2020. Wind variability in the Canary Current during the last 70 years. Ocean Science, 16, 951–963.

Caballero-Leiva, I., Marrero Betancort, N., Rodríguez Betancort, J.J., Rodríguez-Esparragón, D., Marcello, J., 2019. An Approximation to the Relationship Between Climatic Variables Obtained Through Remote Satellite Sensors and Hospital Admissions: A Case Study on Gran Canaria Island. Sensors & Transducers, 238(11), 80-86. Access publication.

García-Pedrero, A., Lillo-Saavedra, M., Rodríguez-Esparragón, D., Gonzalo-Martín, C., 2019. Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System. IEEE Access Vol 7, 158223 - 158236. https:/doi.org/10.1109/ACCESS.2019.2950371

Rodríguez-Esparragón, D., Marcello, J., Marrero Betancort, N., Gonzalo-Martín, C., 2019. Estimation of wind intensity data from reanalysis data using a shallow neural network. 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 000087-000092. https://doi.org/10.1109/IWOBI47054.2019.9114455

Rodríguez-Esparragón, D., Marrero Betancort, N., Marcello, J., Hernández-León, S., 2019. Chlorophyll-a estimation from remote sensing data of sea surface temperature and aerosol optical thickness through a shallow neural network. 2019 International Conference in Engineering Applications (ICEA), 1-5. https://doi.org/10.1109/CEAP.2019.8883506

Marcello, J., Rodríguez-Esparragón, D., Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., 2019. Multisensor fusion for the accurate classification of vegetation in complex ecosystems. 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 000081-000086. https://doi.org/10.1109/IWOBI47054.2019.9114397

García-Pedrero, A., Gonzalo-Martín, C., Lillo-Saavedra, M., Rodríguez-Esparragón, D., 2018. The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation. Remote Sensing, 10(12) https://doi.org/10.3390/rs10121991

Rodríguez-Esparragón, D., Marcello, J., Gonzalo-Martín, C., García-Pedrero, A., Eugenio, F., 2018. Assessment of the spectral quality of fused images using the CIEDE2000 distance. Computing, 100(11), 1175-1188.

Chávez-Burbano, P., Guerra, V., Rabadán, J., Rodríguez-Esparragón, D., Pérez-Jiménez, R., 2017. Experimental Characterization of Close-Emitter Interference in an Optical Camera Communication System. Sensors, 17/7), 1561. http://dx.doi.org/10.3390/s17071561

Eugenio, F., Marcello, J., Martín, J., Rodríguez-Esparragón, D., 2017. Benthic Habitat Mapping Using Multispectral High-Resolution Imagery: Evaluation of Shallow Water Atmospheric Correction Techniques. Sensor, 17(11), 2639. http://dx.doi.org/10.3390/s17112639

Ibarrola, E., Gonzalo-Martin, C., Marcello, J., García Pedrero, A., Rodríguez-Esparragón, D., 2017. Fusion of High Resolution Multispectral Imagery in Vulnerable Coastal and Land Ecosystems. Sensors 2017, 17(2), 228. http://dx.doi.org/10.3390/s17020228

Panigrahy C., García Pedrero, A., Seal, A., Rodríguez Esparragón, D., Kumar Mahato, N., Gonzalo Martín, C., 2017. An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images. Entropy, 19(10), 534. http://dx.doi.org/10.3390/e19100534

Rodríguez-Esparragón, D., Marcello, J., Eugenio, F., García-Pedrero, A., Gonzalo-Martín, C., 2017. Object-based quality evaluation procedure for fused remote sensing imagery. Neurocomputing, 255, 40-51. http://doi.org/10.1016/j.neucom.2016.06.091

Seal, A., Bhattacharjee, D., Nasapuri, M., Rodríguez Esparragón, D., Menasalvas, E., González Martín, C., 2017. PET-CT Image Fusion using Random Forest and À-trous Wavelet Transform. International Journal for Numerical Methods in Biomedical Engineering. http://dx.doi.org/10.1002/cnm.2933