Multi-Sensor Systems and Data Fusion in Remote Sensing

• Daljnji autori: Kaniewski, Piotr (Urednik), Pasternak, Mateusz (Urednik), Mattoccia, Stefano (Urednik)
• Format: Elektronički Poglavlje knjige
• Jezik: engleski
• Izdano: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Teme: Technology: general issues; History of engineering & technology; Environmental science, engineering & technology; pansharpening; component substitution; multiresolution analysis; neural networks; adaptive weight; image registration; nonlinear radiation distortions; phase congruency; multimodal remote sensing image; optical and synthetic aperture radar (SAR); phase congruency (PC); radiometric difference; INS; GPS; UAV; SAR; information quality; weather station; sensors; modelling; explosive devices; hyperspectral data; simulation; Spectral Angle Mapping; duration calculus; data models; temporal logic; temporal series; data fusion; data evaluation; multisensor data; signal and data processing; interval logic; classification; CORINE; feature selection; LUCAS; MDA; random forest; sentinel; infrared and visible image object detection; convolutional neural network; difference maximum loss function; focused feature enhancement module; cascaded semantic extension module; SLAM; autonomous navigation; particle filter; monocular camera; IMU; mapping; path planning; hexagonal grid
• Online pristup: DOAB: download the publication; DOAB: description of the publication

Remote sensing is developing rapidly due to progress in many interconnected fields. It includes the emergence of new sensors, development of sophisticated platforms for those sensors, and advances in signal and data processing. The progress in the fields of radar, optoelectronic, acoustic, magnetic,...