Geo-AI
Applications
(Ongoing research topics are highlighted in blue boldface)
Land-cover classification using deep learning
Hypothetical optical image generation using deep learning and SAR imagery
Spatio-temporal fusion of multi-sensor satellite images using deep learning
Development of application software based on both developed data processing techniques and open-source
Selected publications
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.