IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
IEEE

Enhancing Graph-SLAM 2D Maps Accuracy and Data Efficiency via Loop Closure through PGO and Map-Based Navigation

Abstract: This paper investigates the accuracy of 2D Graph-SLAM maps for the TurtleBot3 (TB3) robot in the Robot Operating System (ROS). We conduct two experiments to assess the impact of Pose Graph ...