Yang Dam Eo
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View article: Image Simulation in Remote Sensing
Image Simulation in Remote Sensing Open
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. Recen…
View article: Special Issue on Image Simulation in Remote Sensing
Special Issue on Image Simulation in Remote Sensing Open
Recently, various remote sensing sensors have been used and their performance has developed rapidly [...]
View article: Impact of Land Cover and Leaf Area Index on BVOC Emissions over the Korean Peninsula
Impact of Land Cover and Leaf Area Index on BVOC Emissions over the Korean Peninsula Open
Biogenic volatile organic compound (BVOCs) emissions are the largest VOC emission source globally, and are precursors to ozone and secondary organic aerosols, both of which are strong, short-lived climate pollutants. BVOC emissions are usu…
View article: A Learning-Based Image Fusion for High-Resolution SAR and Panchromatic Imagery
A Learning-Based Image Fusion for High-Resolution SAR and Panchromatic Imagery Open
Image fusion is an effective complementary method to obtain information from multi-source data. In particular, the fusion of synthetic aperture radar (SAR) and panchromatic images contributes to the better visual perception of objects and …
View article: Multilayer Perceptron-Based Phenological and Radiometric Normalization for High-Resolution Satellite Imagery
Multilayer Perceptron-Based Phenological and Radiometric Normalization for High-Resolution Satellite Imagery Open
Radiometric normalization is an essential preprocessing step that must be performed to detect changes in multi-temporal satellite images and, in general, relative radiometric normalization is utilized. However, most relative radiometric no…
View article: Fusion of SAR and Multispectral Images Using Random Forest Regression for Change Detection
Fusion of SAR and Multispectral Images Using Random Forest Regression for Change Detection Open
In order to overcome the insufficiency of single remote sensing data in change detection, synthetic aperture radar (SAR) and optical image data can be used together for supplementation. However, conventional image fusion methods fail to ad…
View article: Learning-Based Colorization of Grayscale Aerial Images Using Random Forest Regression
Learning-Based Colorization of Grayscale Aerial Images Using Random Forest Regression Open
Image colorization assigns colors to a grayscale image, which is an important yet difficult image-processing task encountered in various applications. In particular, grayscale aerial image colorization is a poorly posed problem that is aff…
View article: Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection
Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection Open
Efforts have been made to detect both naturally occurring and anthropogenic changes to the Earth’s surface by using satellite remote sensing imagery. There is a need to maintain the homogeneity of radiometric and phenological conditions to…
View article: High Spatial Resolution Satellite Image Simulation Based on 3D Data and Existing Images
High Spatial Resolution Satellite Image Simulation Based on 3D Data and Existing Images Open
This study proposes an approach for simulating high spatial resolution satellite images acquired under arbitrary sun-sensor geometry using existing images and 3D (three-dimensional) data. First, satellite images, having significant differe…
View article: Generation of Simulated Image from Atmospheric Corrected Landsat TM Images
Generation of Simulated Image from Atmospheric Corrected Landsat TM Images Open
원격탐사영상의 기상조건과 계절에 따른 모의는 영상 전처리 단계 중 대기보정 알고리즘의 역방향 구현을 통해 수행될 수 있다. 본 연구는 상용 원격탐사영상처리 프로그램에서 제공되는 대기보정기능으로 보정된 Landsat영상을 특정기상조건이 고려된 대기보정 이전 상태로 모의하는 방법을 실험하였다. 실험에 적용한 방법은 Forster 알고리즘(1984)과 6S RTM (Radiative Transfer Model) 이고, 모의된 결과…