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Behnam Asghari Beirami
Behnam Asghari Beirami
Other namesB. Asghari Beirami, B. A. Beirami, بهنام اصغری بیرامی
Verified email at email.kntu.ac.ir - Homepage
Title
Cited by
Cited by
Year
A feature extraction method based on spectral segmentation and integration of hyperspectral images
SHA Moghaddam, M Mokhtarzade, BA Beirami
International Journal of Applied Earth Observation and Geoinformation 89, 102097, 2020
282020
Band Grouping SuperPCA for Feature Extraction and Extended Morphological Profile Production from Hyperspectral Images
BA Beirami, M Mokhtarzade
IEEE Geoscience and Remote Sensing Letters 17 (11), 1953-1957, 2020
182020
Spatial-spectral classification of hyperspectral images based on multiple fractal-based features
BA Beirami, M Mokhtarzade
Geocarto International 37 (1), 231-245, 2020
162020
A Deep Convolutional Neural Network based on Local Binary Patterns of Gabor Features for Classification of Hyperspectral Images
O Sharifi, M Mokhtarzade, BA Beirami
2020 International Conference on Machine Vision and Image Processing (MVIP), 1-5, 2020
132020
An Embedded Deep Learning-Based Package for Traffic Law Enforcement
A Omidi, A Heydarian, A Mohammadshahi, BA Beirami, F Haddadi
Proceedings of the IEEE/CVF International Conference on Computer Vision, 262-271, 2021
122021
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran
H Farhadi, M Mokhtarzade, H Ebadi, BA Beirami
Environmental Monitoring and Assessment 194 (5), 1-19, 2022
112022
Spatial-Spectral Random Patches Network for Classification of Hyperspectral Images
BA Beirami, M Mokhtarzade
Traitement du Signal 36 (5), 399-406, 2019
112019
An Automatic Method for Unsupervised Feature Selection of Hyperspectral Images Based on Fuzzy Clustering of Bands
BA Beirami, M Mokhtarzade
Traitement du Signal 37 (2), 319-324, 2020
102020
A New Deep Learning Approach for Classification of Hyperspectral Images: Feature and Decision Level Fusion of Spectral and Spatial Features in Multiscale CNN
O Sharifi, M Mokhtarzade, BA Beirami
Geocarto International 37 (14), 4208-4233, 2021
82021
Superpixel-Based Minimum Noise Fraction Feature Extraction for Classification of Hyperspectral Images
BA Beirami, M Mokhtarzade
Traitement du Signal 37 (5), 815-822, 2020
82020
SVM classification of hyperspectral images using the combination of spectral bands and Moran's I features
BA Beirami, M Mokhtarzade
2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2017
82017
Spatial-Spectral Classification of Hyperspectral Images Based on Extended Morphological Profiles and Guided Filter
BA Beirami, M Mokhtarzade
Computer and Knowledge Engineering 2 (2), 2-8, 2019
7*2019
Ensemble of Log-Euclidean Kernel SVM based on Covariance Descriptors of Multiscale Gabor Features for Face Recognition
BA Beirami, M Mokhtarzade
International Journal of Engineering 35 (11), 2065-2071, 2022
52022
Performance Evaluation of Temporal and Spatial-Temporal Convolutional Neural Networks for Land-Cover Classification (A Case Study in Shahrekord, Iran)
A Taheri Dehkordi, BA Beirami, MJ Valadan Zoej, M Mokhtarzade
2021 5th International Conference on Pattern Recognition and Image Analysis …, 2021
52021
Classification of Hyperspectral Images based on Intrinsic Image Decomposition and Deep Convolutional Neural Network
BA Beirami, M Mokhtarzade
2020 6th Iranian Conference on Signal Processing and Intelligent Systems …, 2020
42020
A New Deep Learning Approach for Hyperspectral Image Classification Based on Multifeature Local Kernel Descriptors
BA Beirami, M Mokhtarzade
Advances in Space Research 72 (5), 1703-1720, 2023
32023
Supervised and Unsupervised Clustering Based Dimensionality Reduction of Hyperspectral Data
BA Beirami, M Mokhtarzade
International Journal of Engineering 34 (6), 1407-1412, 2021
32021
Introducing an Unsupervised Method for Feature Extraction of Hyperspectral Images Using Bands Clustering in the Prototype Space
BA Beirami, M Mokhtarzade
Journal of Geomatics Science and Technology 9 (2), 195-207, 2019
32019
Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)
N Alizadeh, BA Beirami, M Mokhtarzade
2022 12th International Conference on Computer and Knowledge Engineering …, 2022
22022
Optimized weighted local kernel features for hyperspectral image classification
BA Beirami, M Mokhtarzade
Multimedia Tools and Applications 81, 21859–21885, 2022
22022
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