Crop classification in South Korea for multitemporal PlanetScope imagery using SFC-DenseNet-AM
Seonkyeong Seong(Korea Meteorological Administration), Jaewan Choi(Chungbuk National University), Sang-Il Na(Rural Development Administration), Junsang Mo(Korea Research Institute for Human Settlements), Jaehong Oh(Korea Maritime and Ocean University), Ho-yong Ahn(Rural Development Administration), Anjin Chang(Tennessee State University)
International Journal of Applied Earth Observation and Geoinformation
January 4, 2024
Cited by 15
Related Papers
Semantic Segmentation of Urban Buildings Using a High-Resolution Network (HRNet) with Channel and Spatial Attention Gates
|Remote Sensing|2021|76
Determination of Vehicle Trajectory through Optimization of Vehicle Bounding Boxes using a Convolutional Neural Network
|Sensors|2019|29
SAUNet3+CD: A Siamese-Attentive UNet3+ for Change Detection in Remote Sensing Images
|IEEE Access|2022|18
Automated RPCs Bias Compensation for KOMPSAT Imagery Using Orthoimage GCP Chips in Korea
|IEEE Access|2022|6
Applicability of Image Classification Using Deep Learning in Small Area : Case of Agricultural Lands Using UAV Image
|Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography|2020|3