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Farhad Samadzadegan
Professor at Univ of Tehran
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Publications (4)
SPIE Journal Paper | 13 March 2018
Deep learning decision fusion for the classification of urban remote sensing data
Ghasem Abdi, Farhad Samadzadegan, Peter Reinartz
JARS, Vol. 12, Issue 01, 016038, (March 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.016038
KEYWORDS: Data fusion, Remote sensing, Roads, Visualization, Data modeling, Image classification, Image fusion, Image segmentation, Feature extraction, Image analysis
SPIE Journal Paper | 22 August 2017
Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder
Ghasem Abdi, Farhad Samadzadegan, Peter Reinartz
JARS, Vol. 11, Issue 04, 042604, (August 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.042604
KEYWORDS: Hyperspectral imaging, Image classification, Data modeling, Remote sensing, Long wavelength infrared, Principal component analysis, Earth sciences, Error analysis, Image filtering, Spatial resolution
SPIE Journal Paper | 5 December 2014
Feature grouping-based multiple fuzzy classifier system for fusion of hyperspectral and LIDAR data
Behnaz Bigdeli, Farhad Samadzadegan, Peter Reinartz
JARS, Vol. 8, Issue 01, 083509, (December 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083509
KEYWORDS: LIDAR, Fuzzy logic, Data fusion, Fuzzy systems, Remote sensing, Sensors, Image fusion, Feature extraction, Information fusion, Image classification
SPIE Journal Paper | 31 October 2012
Particle swarm optimization of kernel-based fuzzy c-mParticle swarm optimization of kernel-based fuzzy c-means for hyperspectral data clustering eans for hyperspectral data clustering
Saeid Niazmardi, Amin Alizadeh Naeini, Saeid Homayouni, Abdolreza Safari, Farhad Samadzadegan
JARS, Vol. 6, Issue 01, 063601, (October 2012) https://doi.org/10.1117/12.10.1117/1.JRS.6.063601
KEYWORDS: Particle swarm optimization, Particles, Fuzzy logic, Algorithm development, Optimization (mathematics), Data modeling, Binary data, Data centers, Algorithms, Composites
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