TY  - GEN
AU  - Eo,Yang Dam
AU  - Eo,Yang Dam
TI  - Image Simulation in Remote Sensing
SN  - books978-3-0365-3580-7
PY  - 2022///
CY  - Basel
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Technology: general issues
KW  - bicssc
KW  - History of engineering & technology
KW  - image fusion
KW  - random forest regression
KW  - SAR image
KW  - panchromatic image
KW  - high-resolution
KW  - multi-beam LiDAR
KW  - in situ self-calibration
KW  - mobile mapping system
KW  - 3D point cloud
KW  - backpack-based mapping
KW  - aerial orthoimage
KW  - Sentinel-2
KW  - super-resolution
KW  - image simulation
KW  - residual U-Net
KW  - interferometry
KW  - remote sensing
KW  - computational simulation
KW  - denoising
KW  - detection
KW  - SAR imagery
KW  - fusing region proposals
KW  - KOMPSAT-3A
KW  - strip
KW  - sensor modeling
KW  - RPCs
KW  - mosaic
KW  - matching
KW  - discrepancy
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/5313
UR  - https://directory.doabooks.org/handle/20.500.12854/80973
ER  -