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박노욱 프로필 사진

박노욱

PARK, NO-WOOK

공과대학

공간정보공학과

2018

2025

연도별 연구 활동 현황

전체 141건 중 1번부터 10번까지의 결과를 표시합니다.

2025

Article

Fine-Scale Mapping and Uncertainty Quantification of Intertidal Sediment Grain Size Using Geostatistical Simulation Integrated with Machine Learning and High-Resolution Remote Sensing Imagery

Article

Data-driven segmentation of observation-level logistic regression models

Article

Robustness Comparison of Spatiotemporal Fusion Models With High Spatial Resolution Satellite Images

2024

Article

Assessing the Potential of Multi-Temporal Conditional Generative Adversarial Networks in SAR-to-Optical Image Translation for Early-Stage Crop Monitoring

Article

Comparison of Deep Learning-Based SAR-to-Optical Image Translation Models for High Spatial Resolution Optical Image Restoration; [고해상도 광학영상 복원을 위한 딥러닝 기반 SAR-광학 영상 변환 모델 비교]

Article

GENERATION OF CLOUD-FREE HIGH SPATIAL RESOLUTION OPTICAL IMAGES USING SPATIO-TEMPORAL FUSION

2023

Article

Combining Gaussian Process Regression with Poisson Blending for Seamless Cloud Removal from Optical Remote Sensing Imagery for Cropland Monitoring

Article

Performance Evaluation of Machine Learning Algorithms for Cloud Removal of Optical Imagery: A Case Study in Cropland

Article

Sensitivity Analysis of Regression-Based Trend Estimates to Input Errors in Spatial Downscaling of Coarse Resolution Remote Sensing Data

Article

Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping

상세 보기

박노욱

자료유형

발행연도

키워드

언어

Fine-Scale Mapping and Uncertainty Quantification of Intertidal Sediment Grain Size Using Geostatistical Simulation Integrated with Machine Learning and High-Resolution Remote Sensing Imagery

Data-driven segmentation of observation-level logistic regression models

Robustness Comparison of Spatiotemporal Fusion Models With High Spatial Resolution Satellite Images

Assessing the Potential of Multi-Temporal Conditional Generative Adversarial Networks in SAR-to-Optical Image Translation for Early-Stage Crop Monitoring

Comparison of Deep Learning-Based SAR-to-Optical Image Translation Models for High Spatial Resolution Optical Image Restoration; [고해상도 광학영상 복원을 위한 딥러닝 기반 SAR-광학 영상 변환 모델 비교]

GENERATION OF CLOUD-FREE HIGH SPATIAL RESOLUTION OPTICAL IMAGES USING SPATIO-TEMPORAL FUSION

Combining Gaussian Process Regression with Poisson Blending for Seamless Cloud Removal from Optical Remote Sensing Imagery for Cropland Monitoring

Performance Evaluation of Machine Learning Algorithms for Cloud Removal of Optical Imagery: A Case Study in Cropland

Sensitivity Analysis of Regression-Based Trend Estimates to Input Errors in Spatial Downscaling of Coarse Resolution Remote Sensing Data

Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping