Applying machine learning to optical metrology: a review
This literature review investigates the integration of machine learning (ML) into optical
metrology, unveiling enhancements in both efficiency and effectiveness of measurement …
metrology, unveiling enhancements in both efficiency and effectiveness of measurement …
Monitoring Maritime Ship Characteristics Using Satellite Remote Sensing Data from Different Sensors
WK Baek, E Kim, HK Jeon, KJ Lee, SW Kim… - Ocean Science …, 2024 - Springer
Ship monitoring is important for understanding human maritime activities. Automatic
identification systems are widely adopted for ship monitoring. It is not possible to extract ship …
identification systems are widely adopted for ship monitoring. It is not possible to extract ship …
Predicting Crop Growth Patterns with Spatial–Temporal Deep Feature Exploration for Early Mapping
K Li, W Zhao, J Chen, L Zhang, D Hu, Q Wang - Remote Sensing, 2023 - mdpi.com
The timely and accurate mapping of crops over large areas is essential for alleviating food
crises and formulating agricultural policies. However, most existing classical crop mapping …
crises and formulating agricultural policies. However, most existing classical crop mapping …
Assessing the Potential of Multi-Temporal Conditional Generative Adversarial Networks in SAR-to-Optical Image Translation for Early-Stage Crop Monitoring
The incomplete construction of optical image time series caused by cloud contamination is
one of the major limitations facing the application of optical satellite images in crop …
one of the major limitations facing the application of optical satellite images in crop …
[PDF][PDF] GAN 을이용한흑백영상과위성SAR 영상간의모의및컬러화
조수민， 허준혁， 어양담 - 대한토목학회논문집, 2024 - koreascience.kr
초 록광학 위성영상은 국가 보안 및 정보 획득을 목적으로 사용되며 그 활용성은 증가하고 있다.
그러나, 기상 조건 및 시간의 제약으로 사용자의 요구에 적합하지 않은 저품질의 영상을 …
그러나, 기상 조건 및 시간의 제약으로 사용자의 요구에 적합하지 않은 저품질의 영상을 …