Search Results - "Ghamisi, Pedram"

Deep Recurrent Neural Networks for Hyperspectral Image Classification by Lichao Mou, Ghamisi, Pedram, Xiao Xiang Zhu

“…In recent years, vector-based machine learning algorithms, such as random forests, support vector machines, and 1-D convolutional neural networks, have shown…”
Get full text

Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization by Ghamisi, Pedram, Benediktsson, Jon Atli

“…A new feature selection approach that is based on the integration of a genetic algorithm and particle swarm optimization is proposed. The overall accuracy of a…”
Get full text

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks by Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Ghamisi, Pedram

“…Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI)…”
Get full text

Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification by Lichao Mou, Ghamisi, Pedram, Xiao Xiang Zhu

“…Supervised approaches classify input data using a set of representative samples for each class, known as training samples. The collection of such samples is…”
Get full text

A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) by Ghorbanzadeh, Omid, Crivellari, Alessandro, Ghamisi, Pedram, Shahabi, Hejar, Blaschke, Thomas

“…Earthquakes and heavy rainfalls are the two leading causes of landslides around the world. Since they often occur across large areas, landslide detection…”
Get full text

IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net by Ghamisi, Pedram, Yokoya, Naoto

“…This letter proposes a groundbreaking approach in the remote-sensing community to simulating the digital surface model (DSM) from a single optical image. This…”
Get full text

Generative Adversarial Networks for Hyperspectral Image Classification by Zhu, Lin, Chen, Yushi, Ghamisi, Pedram, Benediktsson, Jon Atli

“…A generative adversarial network (GAN) usually contains a generative network and a discriminative network in competition with each other. The GAN has shown its…”
Get full text

Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis by Rasti, Behnood, Ghamisi, Pedram, Gloaguen, Richard

“…The classification accuracy of remote sensing data can be increased by integrating ancillary data provided by multisource acquisition of the same scene. We…”
Get full text

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review by Sheykhmousa, Mohammadreza, Mahdianpari, Masoud, Ghanbari, Hamid, Mohammadimanesh, Fariba, Ghamisi, Pedram, Homayouni, Saeid

“…Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning…”
Get full text

Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis by Rasti, Behnood, Ghamisi, Pedram, Plaza, Javier, Plaza, Antonio

“…The availability of diverse data captured over the same region makes it possible to develop multisensor data fusion techniques to further improve the…”
Get full text

COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach by Pinter, Gergo, Felde, Imre, Mosavi, Amir, Ghamisi, Pedram, Gloaguen, Richard

“…Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak…”
Get full text

Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields by Ghamisi, Pedram, Benediktsson, Jon Atli, Ulfarsson, Magnus Orn

“…Hyperspectral remote sensing technology allows one to acquire a sequence of possibly hundreds of contiguous spectral images from ultraviolet to infrared…”
Get full text

Noise Reduction in Hyperspectral Imagery: Overview and Application by Rasti, Behnood, Scheunders, Paul, Ghamisi, Pedram, Licciardi, Giorgio, Chanussot, Jocelyn

“…Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The…”
Get full text

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data by Ghamisi, Pedram, Yushi Chen, Xiao Xiang Zhu

“…In this letter, a self-improving convolutional neural network (CNN) based method is proposed for the classification of hyperspectral data. This approach solves…”
Get full text

Landslide detection using deep learning and object-based image analysis by Ghorbanzadeh, Omid, Shahabi, Hejar, Crivellari, Alessandro, Homayouni, Saeid, Blaschke, Thomas, Ghamisi, Pedram

“…Recent landslide detection studies have focused on pixel-based deep learning (DL) approaches. In contrast, intuitive annotation of landslides from satellite…”
Get full text

Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox by Rasti, Behnood, Hong, Danfeng, Hang, Renlong, Ghamisi, Pedram, Kang, Xudong, Chanussot, Jocelyn, Benediktsson, Jon Atli

“…Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which…”
Get full text

Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network by Ghamisi, Pedram, Hofle, Bernhard, Zhu, Xiao Xiang

“…This paper proposes a novel framework for the fusion of hyperspectral and light detection and ranging-derived rasterized data using extinction profiles (EPs)…”
Get full text

Advanced Spectral Classifiers for Hyperspectral Images: A review by Ghamisi, Pedram, Plaza, Javier, Chen, Yushi, Li, Jun, Plaza, Antonio J

“…Hyperspectral image classification has been a vibrant area of research in recent years. Given a set of observations, i.e., pixel vectors in a hyperspectral…”
Get full text

A Novel Feature Selection Approach Based on FODPSO and SVM by Ghamisi, Pedram, Couceiro, Micael S., Benediktsson, Jon Atli

“…A novel feature selection approach is proposed to address the curse of dimensionality and reduce the redundancy of hyperspectral data. The proposed approach is…”
Get full text

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art by Ghamisi, Pedram, Yokoya, Naoto, Jun Li, Wenzhi Liao, Sicong Liu, Plaza, Javier, Rasti, Behnood, Plaza, Antonio

“…Recent advances in airborne and spaceborne hyperspectral imaging technology have provided end users with rich spectral, spatial, and temporal information. They…”
Get full text