A Dual Neural Architecture Combined SqueezeNet with OctConv for LiDAR Data Classification

Active semi-supervised learning based on self-expressive correlation with generative adversarial networks

(2019) Xiao-Yu Zhang et al.   NEUROCOMPUTING

Hyperspectral and LiDAR Data Classification Using Kernel Collaborative Representation Based Residual Fusion

(2019) Chiru Ge et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks

(2018) Aili Wang et al.   IEEE Geoscience and Remote Sensing Letters

Fusion of Hyperspectral and LiDAR Data With a Novel Ensemble Classifier

(2018) Junshi Xia et al.   IEEE Geoscience and Remote Sensing Letters

Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification

(2018) Yu-Gang Jiang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks

(2018) Yu-Gang Jiang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Small Imaging Depth LIDAR and DCNN-Based Localization for Automated Guided Vehicle

(2018) Seigo Ito et al.   SENSORS

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

(2018) Qishuo Gao et al.   Remote Sensing

A Lightweight Convolutional Neural Network Based on Visual Attention for SAR Image Target Classification

(2018) Jiaqi Shao et al.   SENSORS

LiDAR Data Classification Using Spatial Transformation and CNN

(2018) Xin He et al.   IEEE Geoscience and Remote Sensing Letters

Deep convolutional representations and kernel extreme learning machines for image classification

(2018) Xiaobin Zhu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine

(2017) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Letters

Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network

(2017) Pedram Ghamisi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network

(2017) Soo-Kyung Kwon et al.   Applied Sciences-Basel

Dual-Branch Deep Convolution Neural Network for Polarimetric SAR Image Classification

(2017) Fei Gao et al.   Applied Sciences-Basel

Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning

(2015) Mahdi Khodadadzadeh et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

An Object-Based Approach for Urban Land Cover Classification: Integrating LiDAR Height and Intensity Data

(2013) Weiqi Zhou   IEEE Geoscience and Remote Sensing Letters

Growth-Competition-Based Stem Diameter and Volume Modeling for Tree-Level Forest Inventory Using Airborne LiDAR Data

(2012) Chien-Shun Lo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral Correction for the Effect of Crown Shape at the Single-Tree Level: An Approach Using a Lidar-Derived Digital Surface Model for Broad-Leaved Canopy

(2012) Youngkeun Song et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

(2012) L. Naidoo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object-based classification of land cover and tree species by integrating airborne LiDAR and high spatial resolution imagery data

(2011) Takeshi Sasaki et al.   Landscape and Ecological Engineering