Document quand l'auteur est "Shah-Hosseini, Reza"

Radman, Ali ORCID: https://orcid.org/0000-0002-7030-8794; Shah-Hosseini, Reza ORCID: https://orcid.org/0000-0002-7552-5392 et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2023). A deep convolutional neural network for burn progression mapping using Sentinel-1 SAR time-series. International Journal of Remote Sensing , vol. 44 , nº 7. pp. 2196-2215. DOI: 10.1080/01431161.2023.2197131.

Radman, Ali; Shah-Hosseini, Reza et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2023). An Unsupervised Saliency-Guided Deep Convolutional Neural Network for Accurate Burn Mapping from Sentinel-1 SAR Data. Remote Sensing , vol. 15 , nº 5. p. 1184. DOI: 10.3390/rs15051184.

Rostami, Amirhossein; Shah-Hosseini, Reza; Asgari, Shabnam; Zarei, Arastou; Aghdami-Nia, Mohammad et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2022). Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning. Remote Sensing , vol. 14 , nº 4. p. 992. DOI: 10.3390/rs14040992.

Aghdami-Nia, Mohammad; Shah-Hosseini, Reza; Rostami, Amirhossein et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2022). Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net. International Journal of Applied Earth Observation and Geoinformation , vol. 109 . p. 102785. DOI: 10.1016/j.jag.2022.102785.

Saboori, Mojtaba; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; Shah-Hosseini, Reza et Zhang, Ying (2022). Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery. Remote Sensing , vol. 14 , nº 9. p. 2097. DOI: 10.3390/rs14092097.

Bahrami, Hazhir; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; Shah-Hosseini, Reza; ZandKarimi, Arash et Safari, Abdolreza (2020). Efficient dust detection based on spectral and thermal observations of MODIS imagery. Journal of Applied Remote Sensing , vol. 14 , nº 03. 034513. DOI: 10.1117/1.JRS.14.034513.