(Ongoing research topics are highlighted in blue boldface)
Land-cover classification and change detection using deep learning
Virtual optical image generation using deep learning and SAR imagery
Spatio-temporal fusion of multi-sensor satellite images using deep learning
Virtual spectral band generation using generative AI and multi-sensor satellite images
Development of application software based on both developed data processing techniques and open-source
Soyeon Park, Geun-Ho Kwak, Eui Ho Hwang, and No-Wook Park, 2024. 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, Korean Journal of Remote Sensing, 40(6-1), pp.
Geun-Ho Kwak and No-Wook Park, 2024. Assessing the potential of multi-temporal conditional generative adversarial networks in SAR-to-optical image translation for early stage crop monitoring, Remote Sensing, 16(7), 1199.
Soyeon Park and No-Wook Park, 2023. Combining Gaussian process regression with Poisson blending for seamless cloud removal from optical remote sensing imagery for cropland monitoring, Agronomy, 13(11), 2789.
No-Wook Park, Min-Gyu Park, Geun-Ho Kwak, and Sungwook Hong, 2023. Deep learning-based virtual optical image generation and its application to early crop mapping, Applied Sciences, 13(3), 1766.
Geun-Ho Kwak and No-Wook Park, 2022. Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images, Remote Sensing, 14(18), 4639.
Geun-Ho Kwak, Chan-won Park, Kyung-do Lee, Sang-il Na, Ho-yong Ahn, and No-Wook Park, 2021. Potential of hybrid CNN-RF model for early crop mapping with limited input data, Remote Sensing, 13(9), 1629.
Soyeon Park and No-Wook Park, 2020. Effects of class purity of training patch on classification performance of crop classification with convolutional neural network, Applied Sciences, 10(11), 3773.
Geun-Ho Kwak, Chan-Won Park, Ho-Yong Ahn, Sang-Il Na, Kyung-Do Lee, and No-Wook Park, 2020. Potential of bidirectional long short-term memory networks for crop classification with multitemporal remote sensing images, Korean Journal of Remote Sensing, 36(4), pp.515-525.
박민규, 곽근호, 박노욱, 2019. 작물 분류를 위한 다중 규모 공간특징의 가중 결합 기반 합성곱 신경망 모델, 대한원격탐사학회지, 35(6-3), pp.1273-1283.
곽근호, 박민규, 박찬원, 이경도, 나상일, 안호용, 박노욱, 2019. 작물 분류에서 시공간 특징을 고려하기 위한 2D CNN과 양방향 LSTM의 결합, 대한원격탐사학회지, 35(5-1), pp.681-692.
Geun-Ho Kwak and No-Wook Park, 2019. Impact of texture information on crop classification with machine learning and UAV images, Applied Sciences, 9(4), 643.