166 citations · 198 across the 7 of their papers we have counts for
9 papers
Classification of Heart Sounds Using Multi-Branch Deep Convolutional Network and LSTM-CNN
Seyed Amir Latifi, Hassan Ghassemian, Maryam Imani
Cardiovascular diseases represent a leading cause of mortality worldwide, necessitating accurate and early diagnosis for improved patient outcomes. Current diagnostic approaches fo…
Deep Curriculum Learning for PolSAR Image Classification
Hamidreza Mousavi, Maryam Imani, Hassan Ghassemian
Following the great success of curriculum learning in the area of machine learning, a novel deep curriculum learning method proposed in this paper, entitled DCL, particularly for t…
Multilayer Structured NMF for Spectral Unmixing of Hyperspectral Images
Roozbeh Rajabi, Hassan Ghassemian
One of the challenges in hyperspectral data analysis is the presence of mixed pixels. Mixed pixels are the result of low spatial resolution of hyperspectral sensors. Spectral unmix…
Sparsity Constrained Graph Regularized NMF for Spectral Unmixing of Hyperspectral Data
Roozbeh Rajabi, Hassan Ghassemian
Hyperspectral images contain mixed pixels due to low spatial resolution of hyperspectral sensors. Mixed pixels are pixels containing more than one distinct material called endmembe…
Spectral Unmixing of Hyperspectral Imagery using Multilayer NMF
Roozbeh Rajabi, Hassan Ghassemian
Hyperspectral images contain mixed pixels due to low spatial resolution of hyperspectral sensors. Spectral unmixing problem refers to decomposing mixed pixels into a set of endmemb…
Fusion of Hyperspectral and Panchromatic Images using Spectral Uumixing Results
Roozbeh Rajabi, Hassan Ghassemian
Hyperspectral imaging, due to providing high spectral resolution images, is one of the most important tools in the remote sensing field. Because of technological restrictions hyper…
Hyperspectral Data Unmixing Using GNMF Method and Sparseness Constraint
Roozbeh Rajabi, Hassan Ghassemian
Hyperspectral images contain mixed pixels due to low spatial resolution of hyperspectral sensors. Mixed pixels are pixels containing more than one distinct material called endmembe…
Unmixing of Hyperspectral Data Using Robust Statistics-based NMF
Roozbeh Rajabi, Hassan Ghassemian
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra…
Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Data Unmixing
Roozbeh Rajabi, Mahdi Khodadadzadeh, Hassan Ghassemian
Spectral unmixing is an important tool in hyperspectral data analysis for estimating endmembers and abundance fractions in a mixed pixel. This paper examines the applicability of a…