Remote Sensing
Applications
(Ongoing research topics are highlighted in blue boldface)
Incorporation of spatio-temporal contextual information into the classification of remote sensing data
Object-based change detection with high-resolution remote sensing data for detecting landslide locations
Analysis of sedimentary environment changes induced by typhoon using multi-temporal remote sensing data
Coastal area monitoring using multi-temporal remote sensing data
Feature extraction and land-cover classification using multi-temporal/polarization SAR data
Land subsidence rate estimation using persistent scatterer interferometric SAR technique
Anomaly detection from hyperspectral data using 3D wavelet transform and local spatial statistical indices
DEM generation in tidal flats from time-series Landsat data and flood vulnerability assessment
Updating land-cover maps using object-based classification and temporal contextual information
Feature extraction from PolSAR/PolInSAR data and classification
Decision-level fusion of multiple classifiers for remote sensing data classification
Crop type discrimination using time-series vegetation indices and past land-cover maps
Combination of active learning and semi-supervised learning for land-cover classification
Crop classification using deep learning and UAV images
Spatio-temporal fusion of multi-sensor satellite images with different resolutions
Image reconstruction and fusion using deep learning
Gap filling/imputation of multi-temporal remote sensing images for continuous vegetation monitoring
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.
Soyeon Park, No-Wook Park, and Sang-il Na, 2022. An object-based weighting approach to spatiotemporal fusion of high spatial resolution satellite images for small-scale cropland monitoring, Agronomy, 12(10), 2572.
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.
No-Wook Park and Dong-Ho Jang, 2020. Geostatistical classification of intertidal surface sediments using log-ratio transformation and high-resolution remote sensing imagery, Journal of Coastal Research, Special Issue No. 102, pp.157-165.
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.
No-Wook Park, 2019. Geostatistical integration of field measurements and multi-sensor remote sensing images for spatial prediction of grain size of intertidal surface sediments, Journal of Coastal Research, Special Issue No. 90, pp.193-199.
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.
Yeseul Kim, No-Wook Park, and Kyung-Do Lee, 2017. Self-learning based land-cover classification using sequential class patterns from past land-cover maps, Remote Sensing, 9(9), 921.
Yeseul Kim, Dong-Ho Jang, No-Wook Park, and Hee Young Yoo, 2016. Assessment of landform changes in Baramarae tidal flat, Korea using combined analysis of multi-temporal remote sensing images and grain size measurement data, Journal of Marine Science and Technology, 24(6), pp.1070-1080.
No-Wook Park, 2010. Accounting for temporal contextual information in land-cover classification with multi-sensor SAR data, International Journal of Remote Sensing, 31(2), pp.281-298.
No-Wook Park, Dong-Ho Jang, and Kwang-Hoon Chi, 2009. Integration of IKONOS imagery for geostatistical mapping of sediment grain size at Baramarae beach, Korea, International Journal of Remote Sensing, 30(21), pp.5703-5724.
No-Wook Park and Kwang-Hoon Chi, 2008. Integration of multi-temporal/polarization C-band SAR data sets for land-cover classification, International Journal of Remote Sensing, 29(16), pp.4667-4688.