Image Simulation in Remote Sensing

• Autore: Eo Yang Dam
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (128 p.)
• Soggetto topico: Technology: general issues; History of engineering & technology
• Soggetto non controllato: image fusion; random forest regression; SAR image; panchromatic image; high-resolution; multi-beam LiDAR; in situ self-calibration; mobile mapping system; 3D point cloud; backpack-based mapping; aerial orthoimage; Sentinel-2; super-resolution; image simulation; residual U-Net; interferometry; remote sensing; computational simulation; denoising; detection; SAR imagery; fusing region proposals; KOMPSAT-3A; strip; sensor modeling; RPCs; mosaic; matching; discrepancy
• Persona (resp. second.): EoYang Dam
• Sommario/riassunto: Remote sensing is being actively researched in the fields of environment, military and urban planning through technologies such as monitoring of natural climate phenomena on the earth, land cover classification, and object detection. Recently, satellites equipped with observation cameras of various resolutions were launched, and remote sensing images are acquired by various observation methods including cluster satellites. However, the atmospheric and environmental conditions present in the observed scene degrade the quality of images or interrupt the capture of the Earth's surface information. One method to overcome this is by generating synthetic images through image simulation. Synthetic images can be generated by using statistical or knowledge-based models or by using spectral and optic-based models to create a simulated image in place of the unobtained image at a required time. Various proposed methodologies will provide economical utility in the generation of image learning materials and time series data through image simulation. The 6 published articles cover various topics and applications central to Remote sensing image simulation. Although submission to this Special Issue is now closed, the need for further in-depth research and development related to image simulation of High-spatial and spectral resolution, sensor fusion and colorization remains.I would like to take this opportunity to express my most profound appreciation to the MDPI Book staff, the editorial team of Applied Sciences journal, especially Ms. Nimo Lang, the assistant editor of this Special Issue, talented authors, and professional reviewers.
• Titolo autorizzato: Image Simulation in Remote Sensing
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566468703321
• Lo trovi qui: Univ. Federico II