Recent Advances in Deep Learning for SAR Images: Overview of Methods, Challenges, and Future Directions. [PDF]
Peter E, Ang LM, Seng KP, Srivastava S.
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A 30 m forest dominant height dataset for China in 2020. [PDF]
Chen Y, Xu G, Yang H, Guo Q.
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A high doppler tolerance and low side-lobe NLFM waveform optimization method for SAR application. [PDF]
Yao K, Liu C.
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High-temporal-resolution slope-aspect deformation extraction and evolution analysis of the Xiongba landslide group based on time-series InSAR and unscented Kalman filter. [PDF]
Jing C +7 more
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Assessing the influence of environmental gradients on grassland aboveground biomass density estimation using GEDI and multi-source remote sensing. [PDF]
Liang E.
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Sensor fusion and downscaled climate projections reveal climate refugia in the California Channel Islands. [PDF]
Gallerani EM +5 more
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SpChipADF: An Architecture Design Framework for Radar Signal Processing Hardware Accelerators. [PDF]
Wang H +8 more
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GNSS hydrology: Defining a new interdiscipline integrating GNSS hydrogeodesy and remote sensing. [PDF]
Wan W +4 more
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Antenna Model with Pattern Optimization Based on Genetic Algorithm for Satellite-Based SAR Mission. [PDF]
Sánchez-Sevilleja S +3 more
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HE-BiDet: A Hardware Efficient Binary Neural Network Accelerator for Object Detection in SAR Images. [PDF]
Zhang D +5 more
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