Multisource Remote Sensing Data Visualization Using Machine Learning

• Published in: IEEE transactions on geoscience and remote sensing Vol. 62; pp. 1 - 12
• Main Authors: Plajer, Ioana Cristina, Baicoianu, Alexandra, Majercsik, Luciana, Ivanovici, Mihai
• Format: Journal Article
• Language: English
• Published: New York IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Availability; Data visualization; Datasets; Hyperspectral imaging; Image color analysis; Image sensors; Machine learning; Multisource; multispectral (MS) and hyperspectral (HS) images; neural network; Neural networks; normalization; Preprocessing; Remote sensing; Scientific visualization; Sensor phenomena and characterization; Spatial resolution; Spectral bands; Standardization; Visualization; Wavelengths

With the availability of several remotely sensed data sources, the problem of efficiently visualizing the information from multisource data for improved Earth observation becomes an intriguing and challenging subject. Multispectral (MS) and hyperspectral (HS) images encompass a wealth of spectral da...