Saeid Homayouni

Alavi, Mohammad, Albaji, Mohammad, Golabi, Mona, Naseri, Abd Ali et Homayouni, Saeid (2024). Estimation of sugarcane evapotranspiration from remote sensing and limited meteorological variables using machine learning models. Journal of Hydrology, 629 (Février) : Art. 130605.
DOI : 10.1016/j.jhydrol.2023.130605

Khosravi, Younes, Homayouni, Saeid et St-Hilaire, André (2024). An integrated dryness index based on geographically weighted regression and satellite earth observations. Science of The Total Environment, 911 (Février) : Art. 168807.
DOI : 10.1016/j.scitotenv.2023.168807

Abadi, Mohammad, Zamani, Abbasali, Khosravi, Younes et Homayouni, Saeid (2023). Comprehensive risk assessment of heavy metals in topsoil and their risks to human health and ecosystem in Zanjan Mineral Province, Western Iran. Water, Air, & Soil Pollution, 234 : Art. 627.
DOI : 10.1007/s11270-023-06610-3

Dehghani-Dehcheshmeh, Saeid, Akhoondzadeh, Mehdi et Homayouni, Saeid (2023). Oil spills detection from SAR Earth observations based on a hybrid CNN transformer networks. Marine Pollution Bulletin, 190 (Mai) : Art. 114834.
DOI : 10.1016/j.marpolbul.2023.114834

Jafarzadeh, Hamid, Verma, Abhinav, Mahdianpari, Masoud, Gill, Eric W., Bhattacharya, Avik et Homayouni, Saeid (2023). Compact-polarimetric SAR signature analysis for wetland characterization using RADARSAT constellation mission. IEEE Transactions on Geoscience and Remote Sensing, 62 : Art. 5202016.
DOI : 10.1109/TGRS.2023.3342625

Noyola Medrano, Cristina, Homayouni, Saeid et Chokmani, Karem (2023). Google Earth Engine, una aplicación inteligente en el análisis geoespacial. Revista Universitarios Potosinos, 273 : 28-34.

Radman, Ali, Shah-Hosseini, Reza et Homayouni, Saeid (2023). A deep convolutional neural network for burn progression mapping using Sentinel-1 SAR time-series. International Journal of Remote Sensing, 44 (7) : 2196-2215.
DOI : 10.1080/01431161.2023.2197131

Radman, Ali, Shah-Hosseini, Reza et Homayouni, Saeid (2023). An unsupervised saliency-guided deep convolutional neural network for accurate burn mapping from Sentinel-1 SAR data. Remote Sensing, 15 (5) : Art. 1184.
DOI : 10.3390/rs15051184

Rajabi, Roozbeh, Zehtabian, Amin, Singh, Keshav, Tabatabaeenejad, Alireza, Ghamisi, Pedram et Homayouni, Saeid (2023). Editorial: Hyperspectral imaging in environmental monitoring and analysis. Frontiers in Environmental Science, 11 : Art. 1353447.
DOI : 10.3389/fenvs.2023.1353447

Sahraei, Roya, Gorbanian, Arsalan, Kanani-Sadat, Yousef, Jamali, Sadegh et Homayouni, Saeid (2023). Mangrove plantation suitability mapping by integrating multi criteria decision making geospatial approach and remote sensing data. Geo-Spatial Information Science, EN LIGNE.
DOI : 10.1080/10095020.2023.2167615

Sahraei, Roya, Kanani-Sadat, Yousef, Homayouni, Saeid, Safari, Abdolreza, Oubennaceur, Khalid et Chokmani, Karem (2023). A novel hybrid GIS-based multi-criteria decision-making approach for flood susceptibility analysis in large ungauged watersheds. Journal of Flood Risk Management, 16 (2) : Art. e12879.
DOI : 10.1111/jfr3.12879

Shayeganpour, Samira, Tangestani, Majid Hashemi, Homayouni, Saeid et Gorsevski, Pece V. (2023). Ocher deposit prospecting using object-based image analysis of WorldView-3 VNIR data: A case study in Hormuz Island, southern Iran. Advances in Space Research, 72 (4) : 1123-1135.
DOI : 10.1016/j.asr.2023.03.049

Shokri, Danesh, Larouche, Christian et Homayouni, Saeid (2023). A comparative analysis of multi-label deep learning classifiers for real-time vehicle detection to support intelligent transportation systems. Smart Cities, 6 (5) : 2982-3004.
DOI : 10.3390/smartcities6050134

Shokri, Danesh, Rastiveis, Heidar, Sarasua, Wayne A., Homayouni, Saeid, Hosseiny, Benyamin et Shams, Alireza (2023). An enhanced descriptor extraction algorithm for power line detection from point clouds. Geographical Research, 61(4): 480-502.
DOI : 10.1111/1745-5871.12604

Aghdami-Nia, Mohammad, Shah-Hosseini, Reza, Rostami, Amirhossein et Homayouni, Saeid (2022). Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net. International Journal of Applied Earth Observation and Geoinformation, 109 (Mai) : Art. 102785.
DOI : 10.1016/j.jag.2022.102785

Amini, Saeid, Saber, Mohsen, Rabiei-Dastjerdi, Hamidreza et Homayouni, Saeid (2022). Urban land use and land cover change analysis using random forest classification of landsat time series. Remote Sensing, 14 (11) : Art. 2654.
DOI : 10.3390/rs14112654

Azadbakht, Mohsen, Ashourloo, Davoud, Aghighi, Hossein, Homayouni, Saeid, Shahrabi, Hamid Salehi, Matkan, AliAkbar et Radiom, Soheil (2022). Alfalfa yield estimation based on time series of Landsat 8 and PROBA-V images: An investigation of machine learning techniques and spectral-temporal features. Remote Sensing Applications: Society and Environment, 25 (Janvier) : Art. 100657.
DOI : 10.1016/j.rsase.2021.100657

Bahrami, Hazhir, Homayouni, Saeid, McNairn, Heather, Hosseini, Mehdi et Mahdianpari, Masoud (2022). Regional crop characterization using multi-temporal optical and synthetic aperture radar earth observations data / Caractérisation régionale des cultures à l’aide de données d’observations de la Terre multitemporelles optiques et celles d’un radar à synthèse d’ouverture. Canadian Journal of Remote Sensing / Journal Canadien de Télédétection, 48 (2) : 258-277.
DOI : 10.1080/07038992.2021.2011180

Bhattarai, Rajeev, Rahimzadeh-Bajgiran, Parinaz, Weiskittel, Aaron, Homayouni, Saeid, Gara, Tawanda W. et Havana, Ryan P. (2022). Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA. International Journal of Applied Earth Observation and Geoinformation, 108 (Avril) : Art. 102727.
DOI : 10.1016/j.jag.2022.102727

Bhogapurapu, Narayanarao, Dey, Subhadip, Homayouni, Saeid, Bhattacharya, Avik et Rao, Y. S. (2022). Field-scale soil moisture estimation using Sentinel-1 GRD SAR data. Advances in Space Research, 70(12): 3845-3858.
DOI : 10.1016/j.asr.2022.03.019

Dabboor, Mohammed, Otthof, Ian, Mahdianpari, Masoud, Mohammadimanesh, Fariba, Shokr, Mohammed, Brisco, Brian et Homayouni, Saeid (2022). The RADARSAT constellation mission core applications: First results. Remote Sensing, 14 (2) : Art. 301.
DOI : 10.3390/rs14020301

Faraji, Marjan, Nadi, Saeed, Ghaffarpasand, Omid, Homayouni, Saeid et Downey, Kay (2022). An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment. Science of The Total Environment, 834 (Août) : Art. 155324.
DOI : 10.1016/j.scitotenv.2022.155324

Farhadiani, Ramin, Homayouni, Saeid, Bhattacharya, Avik et Mahdianpari, Masoud (2022). SAR despeckling based on CNN and bayesian estimator in complex wavelet domain. IEEE Geoscience and Remote Sensing Letters, 19 : Art. 4510005.
DOI : 10.1109/LGRS.2022.3185557

Ghorbanzadeh, Omid, Shahabi, Hejar, Crivellari, Alessandro, Homayouni, Saeid, Blaschke, Thomas et Ghamisi, Pedram (2022). Landslide detection using deep learning and object-based image analysis. Landslides, 19 (4) : 929-939.
DOI : 10.1007/s10346-021-01843-x

Jamali, Ali, Mahdianpari, Masoud, Mohammadimanesh, Fariba et Homayouni, Saeid (2022). A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples. International Journal of Applied Earth Observation and Geoinformation, 115 (Décembre) : Art. 103095.
DOI : 10.1016/j.jag.2022.103095

Jamali, Ali, Mahdianpari, Masoud, Mohammadimanesh, Fariba, Bhattacharya, Avik et Homayouni, Saeid (2022). PolSAR image classification based on deep convolutional neural networks using wavelet transformation. IEEE Geoscience and Remote Sensing Letters, 19 : Art. 4510105.
DOI : 10.1109/LGRS.2022.3185118

Khorsandi, Mostafa, Homayouni, Saeid et Van Oel, Pieter (2022). The edge of the petri dish for a nation: Water resources carrying capacity assessment for Iran. Science of The Total Environment, 817 (Avril) : Art. 153038.
DOI : 10.1016/j.scitotenv.2022.153038

Madaeni, Fatemehalsadat, Chokmani, Karem, Lhissou, Rachid, Homayouni, Saeid, Gauthier, Yves et Tolszczuk-Leclerc, Simon (2022). Convolutional neural network and long short-term memory models for ice-jam prediction. The Cryosphere, 16 : 1447-1468.
DOI : 10.5194/tc-16-1447-2022

Mohseni, Farzane, Mirmazloumi, S. Mohammad, Mokhtarzade, Mehdi, Jamali, Sadegh et Homayouni, Saeid (2022). Global evaluation of SMAP/Sentinel-1 soil moisture products. Remote Sensing, 14 (18) : Art. 4624.
DOI : 10.3390/rs14184624

Rabiei-Dastjerdi, Hamidreza, Amini, Saeid, McArdle, Gavin et Homayouni, Saeid (2022). City-region or city? That is the question: modelling sprawl in Isfahan using geospatial data and technology. GeoJournal, EN LIGNE.
DOI : 10.1007/s10708-021-10554-8

Rostami, Amirhossein, Shah-Hosseini, Reza, Asgari, Shabnam, Zarei, Arastou, Aghdami-Nia, Mohammad et Homayouni, Saeid (2022). Active fire detection from Landsat-8 imagery using deep multiple kernel learning. Remote Sensing, 14 (4) : Art. 992.
DOI : 10.3390/rs14040992

Saadat, Mohammad, Seydi, Seyd Teymoor, Hasanlou, Mahdi et Homayouni, Saeid (2022). A convolutional neural network method for rice mapping using time-series of Sentinel-1 and Sentinel-2 imagery. Agriculture, 12 (12) : Art. 2083.
DOI : 10.3390/agriculture12122083

Saboori, Mojtaba, Homayouni, Saeid, 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, 14 (9) : Art. 2097.
DOI : 10.3390/rs14092097

Sekhar Ghosh, Swarnendu, Dey, Subhadip, Bhogapurapu, Narayanarao, Homayouni, Saeid, Bhattacharya, Avik et McNairn, Heather (2022). Gaussian process regression model for crop biophysical parameter retrieval from multi-polarized C-Band SAR data. Remote Sensing, 14 (4) : Art. 934.
DOI : 10.3390/rs14040934

Shahabi, Hejar, Rahimzad, Maryam, Piralilou, Sepideh Tavakkoli, Ghorbanzadeh, Omid, Homayouni, Saeid, Blaschke, Thomas, Samsung, Lim et Ghamisi, Pedram (2022). Unsupervised deep learning for landslide detection from multispectral Sentinel-2 imagery. Remote Sensing, 13 (22) : Art. 4698.
DOI : 10.3390/rs13224698

Ansari, Mohsen, Homayouni, Saeid, Safari, Abdolreza et Niazmardi, Saeid (2021). A new convolutional kernel classifier for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 11240-11256.
DOI : 10.1109/JSTARS.2021.3123087

Bahrami, Hazhir, Homayouni, Saeid, Safari, Abdolreza, Mirzaei, Sayeh, Mahdianpari, Masoud et Reisi-Gahrouei, Omid (2021). Deep learning-based estimation of crop biophysical parameters using multi-source and multi-temporal remote sensing observations. Agronomy, 11 (7) : Art. 1363.
DOI : 10.3390/agronomy11071363

Dey, Subhadip, Bhogapurapu, Narayanarao, Homayouni, Saeid, Bhattacharya, Avik et McNairn, Heather (2021). Unsupervised classification of crop growth stages with scattering parameters from dual-pol Sentinel-1 SAR data. Remote Sensing, 13 (21) : Art. 4412.
DOI : 10.3390/rs13214412

Dufour-Beauséjour, Sophie, Bernier, Monique, Simon, Jérome, Homayouni, Saeid, Gilbert, Véronique, Gauthier, Yves, Tuniq, Juupi, Wendleder, Anna et Roth, Achim (2021). Tenuous correlation between snow depth or sea ice thickness and C- or X-Band backscattering in Nunavik Fjords of the Hudson Strait. Remote Sensing, 13 (4) : Art. 768.
DOI : 10.3390/rs13040768

Hosseini, Mehdi, McNairn, Heather, Mitchell, Scott, Robertson, Laura Dingle, Davidson, Andrew, Ahmadian, Nima, Bhattacharya, Avik, Borg, Erik, Conrad, Christopher, Dabrowska-Zielinska, Katarzyna, de Abelleyra, Diego, Gurdak, Radoslaw, Kumar, Vineet, Kussul, Natalia, Mandal, Dipankar, Rao, Y. S., Saliendra, Nicarnor, Shelestov, Andrii, Spengler, Daniel, Verón, Santiago R., Homayouni, Saeid et Becker-Reshef, Inbal (2021). A comparison between support vector machine and water cloud model for estimating crop leaf area index. Remote Sensing, 13 (7) : Art. 1348.
DOI : 10.3390/rs13071348

Jafarzadeh, Hamid, Mahdianpari, Masoud, Homayouni, Saeid, Mohammadimanesh, Fariba et Dabboor, Mohammed (2021). Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review. GIScience & Remote Sensing, 58 (7) : 1022-1051.
DOI : 10.1080/15481603.2021.1952542

Jafarzadeh, Hamid, Mahdianpari, Masoud, Mohammadimanesh, Fariba et Homayouni, Saeid (2021). Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: A comparative Evaluation. Remote Sensing, 13 (21) : Art. 4405.
DOI : 10.3390/rs13214405

Mahdianpari, Masoud, Brisco, Brian, Granger, Jean, Mohammadimanesh, Fariba, Salehi, Bahram, Homayouni, Saeid et Bourgeau-Chavez, Laura (2021). The third generation of pan-canadian wetland map at 10 m resolution using multisource earth observation data on cloud computing platform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 8789-8803.
DOI : 10.1109/JSTARS.2021.3105645

Mahdianpari, Masoud, Ghanbari, Hamid, Mohammadimanesh, Fariba et Homayouni, Saeid (2021). A meta-analysis of convolutional neural networks for remote sensing applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 3602-3613.
DOI : 10.1109/JSTARS.2021.3065569

Mahdianpari, Masoud, Brisco, Brian, Granger, Jean, Mohammadimanesh, Fariba, Salehi, Bahram, Homayouni, Saeid et Bourgeau-Chavez, Laura (2021). Mapping pan-canadian wetlands using multi-source earth observations: the third generation of 10m canadian wetland inventory map. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 8789-8803.
DOI : 10.1109/JSTARS.2021.3105645

Oubennaceur, Khalid, Chokmani, Karem, Gauthier, Yves, Ratté-Fortin, Claudie, Homayouni, Saeid et Toussaint, Jean-Patrick (2021). Flood risk assessment under climate change: The Petite Nation River watershed. Climate, 9 (8) : Art. 125.
DOI : 10.3390/cli9080125

Rahimzad, Maryam, Homayouni, Saeid, Naeini, Amin Alizadeh et Nadi, Saeed (2021). An efficient multi-sensor remote sensing image clustering in urban areas via Boosted Convolutional Autoencoder (BCAE). Remote Sensing, 13 (13) : Art. 2501.
DOI : 10.3390/rs13132501

Shayeganpour, Samira, Tangestani, Majid H., Homayouni, Saeid et Vincent, Robert K. (2021). Evaluating pixel-based vs. object-based image analysis approaches for lithological discrimination using VNIR data of WorldView-3. Frontiers of Earth Science, 15 (1) : 38-53.
DOI : 10.1007/s11707-020-0848-7

Shokri, Danesh, Rastiveis, Heidar, Sarasua, Wayne A., Shams, Alireza et Homayouni, Saeid (2021). A robust and efficient method for power lines extraction from mobile LiDAR point clouds. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89 (3) : 209-232.
DOI : 10.1007/s41064-021-00155-y

Touati, Chaima, Ratsimbazafy, Tahiana Solonjatovo, Poulin, Jimmy, Bernier, Monique, Homayouni, Saeid et Ludwig, Ralf (2021). Landscape freeze/thaw mapping from active and passive microwave earth observations over the Tursujuq National Park, Quebec, Canada. Écoscience, 28 (3-4) : 421-433.
DOI : 10.1080/11956860.2021.1969790

Ahmadi, Salaman et Homayouni, Saeid (2020). A novel active contours model for environmental change detection from multitemporal synthetic aperture radar images. Remote Sens., 12 (11) : Art. 1746.
DOI : 10.3390/rs12111746

Aria, Enayat Hosseini; Menenti, Massimo; Gorte, Ben G. H. et Homayouni, Saeid (2020). Unsupervised dimensionality reduction of hyperspectral images using representations of reflectance spectra. Int. J. Remote Sens., 41 (20) : 7820-7845.
DOI : 10.1080/01431161.2020.1766146

Bahrami, Hazhir; Homayouni, Saeid; Shah-Hosseini, Reza; ZandKarimi, Arash et Safari, Abdolreza (2020). Efficient dust detection based on spectral and thermal observations of MODIS imagery. J. Appl. Remote Sens., 14 (3) : Art. 034513.
DOI : 10.1117/1.JRS.14.034513

Eskandari, Roghieh; Mahdianpari, Masoud; Mohammadimanesh, Fariba; Salehi, Bahram; Brisco, Brian et Homayouni, Saeid (2020). Meta-analysis of unmanned aerial vehicle (UAV) imagery for agro-environmental monitoring using machine learning and statistical models. Remote Sens., 12 (21) : Art. 3511.
DOI : 10.3390/rs12213511

Gahrouei, Omid Reisi; McNairn, Heather; Hosseini, Mehdi et Homayouni, Saeid (2020). Estimation of crop Biomass and leaf area index from multitemporal and multispectral imagery using machine learning approaches / Estimation de la biomasse et de l’indice de surface foliaire de cultures à partir d’images multi-temporelles et multi-spectrales à l’aide d’approches d’apprentissage automatique. Can. J. Remote Sens. / J. Can. Télédétection, 46 (1) : 84-99.
DOI : 10.1080/07038992.2020.1740584

Hamidi, Masoumeh; Safari, Abdolreza et Homayouni, Saeid (2020). An auto-encoder based classifier for crop mapping from multitemporal multispectral imagery. Int. J. Remote Sens., 42 (3) : 986-1016.
DOI : 10.1080/01431161.2020.1820619

Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Robertson, Laura Dingle; Davidson, Andrew et Homayouni, Saeid (2020). Integration of synthetic aperture radar and optical satellite data for corn biomass estimation. MethodsX, 7 : Art. 100857.
DOI : 10.1016/j.mex.2020.100857

Hosseiny, Benyamin; Rastiveis, Heidar et Homayouni, Saeid (2020). An automated framework for plant detection based on deep simulated learning from drone imagery. Remote Sens., 12 (21) : Art. 3521.
DOI : 10.3390/rs12213521

Jamshidpour, Nasehe; Safari, Abdolreza et Homayouni, Saeid (2020). A GA-based multi-view, multi-learner active learning framework for hyperspectral image classification. Remote Sens., 12 (2) : Art. 297.
DOI : 10.3390/rs12020297

Jamshidpour, Nasehe; Safari, Abdolreza et Homayouni, Saeid (2020). Multiview active learning optimization based on genetic algorithm and gaussian mixture models for hyperspectral data. IEEE Geosci. Remote Sens. Letters, 17 (1) : EN LIGNE.
DOI : 10.1109/LGRS.2019.2914858

Mahdianpari M, Brisco B, Granger JE, Mohammadimanesh F, Salehi B, Banks S, Homayouni S, Bourgeau-Chavez L et Weng Q (2020). The second generation Canadian Wetland inventory map at 10 meters resolution using Google Earth Engine / La deuxième génération de la carte de l’inventaire canadien des milieux humides à une résolution de 10 mètres en utilisant Google Earth Engine. Can. J. Remote Sens. / J. Can. Télédétection, 46 (3): 360-375.
DOI : 10.1080/07038992.2020.1802584

Mahdianpari, Masoud; Jafarzadeh, H.; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Brisco, Brian; Homayouni, Saeid et Weng, Qihao (2020). A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland. GIScience & Remote Sensing, 57 (8) : 1102-1124.
DOI : 10.1080/15481603.2020.1846948

Mandianpari, Masoud; Granger, Jean Elizabeth; Mohammadimanesh, Fariba; Salehi, Bahram; Brisco, Brian; Homayouni, Saeid; Gill, Eric; Huberty, Brian et Lang, Megan (2020). Meta-analysis of wetland classification using remote sensing: A systematic review of a 40-year trend in North America. Remote Sens., 12 (11) : Art. 1882.
DOI : 10.3390/rs12111882

Mahdianpari M, Salehi B, Mohammedimandesh F, Brisco B, Homayouni S, Gill E, DeLancey ER et Bourgeau-Chavez L (2020). Big data for a big Country: The first generation of Canadian Wetland inventory map at a spatial resolution of 10-m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform  /  Mégadonnées pour un grand pays: La première carte d’inventaire des zones humides du Canada à une résolution de 10 m à l’aide des données Sentinel-1 et Sentinel-2 sur la plate-forme informatique en nuage de Google Earth Engine™. Can. J. Remote Sens. / J. Can. Télédétection, 46 (1): 15-33.
DOI : 10.1080/07038992.2019.1711366

Mohammedi, Ayub; Karimzadeh, Sadra; jalal, Shazad Jamal; Kamran, Khalil Valizadeh; Shahabi, Himan; Homayouni, Saeid et Al-Ansari, Hadhir (2020). A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models. Sensors, 20 (24) : Art. 7214.
DOI : 10.3390/s20247214

Parto, Fatemeh; Saradjian, Mohammadreza et Homayouni, Saeid (2020). MODIS brightness temperature change-based forest fire monitoring. J. Indian Soc. Remote Sens., 48 (1) : 163-169.
DOI : 10.1007/s12524-019-01071-w

Sheykhmousa, Mohammadreza; Mahdianpari, Masoud; Ghanbari, Hamid; Mohammadimanesh, Fariba; Ghamisi, Pedram et Homayouni, Saeid (2020). Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 13 : 6308-6325.
DOI : 10.1109/JSTARS.2020.3026724

Yavari, Adel; Homayouni, Saeid; Oubennaceur, Khalid et Chokmani, Karem (2020). Flood inundation modeling in ungauged basins using Unmanned Aerial Vehicles imagery. Earth Obs. Geomat. Eng., 4 (1) : 44-45.
DOI : 10.22059/eoge.2020.297824.1075

Farhadiani, Ramin; Homayouni, Saeid et Safari, Abdolreza (2019). Hybrid SAR speckle reduction using complex wavelet shrinkage and non-local PCA-Based filtering. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 12 (5) : 1489-1496.
DOI : 10.1109/JSTARS.2019.2907655

Hadavand, Ahmad; Saadat Seresht, Mohammad et Homayouni, Saeid (2019). A novel density-based super-pixel aggregation for automatic segmentation of remote sensing images in urban areas. Earth Obs. Geomat. Eng., 3 (21) : 84-91.
DOI : 10.22059/EOGE.2019.282354.1048

Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Dingle Robertson, Laura; Davidson, Andrew et Homayouni, Saeid (2019). Synthetic aperture radar and optical satellite data for estimating the biomass of corn. Int. J. Appl. Earth Observ. Geoinfo., 83 (Novernbre) : Art. 101933.
DOI : 10.1016/j.jag.2019.101933

Mahdianpari, Masoud; Mohammedimandesh, Fariba; McNairn, Heather; Davison, Andrew; Rezaee, Mohammad; Salehi, Bahram et Homayouni, Saeid (2019). Mid-season crop classification using dual-, compact-, and full-polarization in preparation for the radarsat constellation mission (RCM). Remote Sens., 11 (13) : Art. 1582.
DOI : 10.3390/rs11131582

Niazmardi, Saeid; Homayouni, Saeid et Safari, Abdolreza (2019). A computationally efficient multi-domain active learning method for crop mapping using satellite image time-series. Int. J. Remote Sens., 40 (16) : 6383-6394.
DOI : 10.1080/01431161.2019.1591648

Reisi-Gahrouei, Omid; Homayouni, Saeid; McNairn, Heather; Hosseini, Mehdi et Safari, Abdolreza (2019). Crop biomass estimation using multi regression analysis and neural networks from multitemporal L-band polarimetric synthetic aperture radar data. Int. J. Remote Sens., 40 (17) : 6822-6840.
DOI : 10.1080/01431161.2019.1594436

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