A Crop Classification Method Integrating GF-3 PolSAR and Sentinel-2A Optical Data in the Dongting Lake Basin. [PDF]
Sensors (Basel), 2018 Gao H +6 more
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Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring. [PDF]
Sensors (Basel)Li Y, Xiao X.
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Survey on Context-Aware Radio Frequency-Based Sensing. [PDF]
Sensors (Basel)Casmin E, Oliveira R.
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Structural-Prior Deep Learning Network for Millimeter-Wave Radar Image Enhancement in Autonomous Driving Road Sensing. [PDF]
Sensors (Basel)Chen H, Huang T, Wang Y, Shi J, Xu Z.
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An Unsupervised Change Detection Method Using Time-Series of PolSAR Images from Radarsat-2 and GaoFen-3. [PDF]
Sensors (Basel), 2018 Liu W, Yang J, Zhao J, Shi H, Yang L.
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Research progress on multimodal data fusion in forest resource monitoring. [PDF]
Front Plant SciWang M +6 more
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Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting. [PDF]
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A Mobile Analytical Chemistry Workstation with a C4D Sensor for Rapid Detection of Organophosphates Under Field Conditions. [PDF]
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Marine Oil Pollution Monitoring Based on a Morphological Attention U-Net Using SAR Images. [PDF]
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An evaluation of PolSAR speckle filters
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Speckle suppression in PolSAR images is an important step for the extraction of meaningful information from PolSAR images, especially for homogeneous extended targets. It has been shown that insufficient noise filtering resulting in low equivalent number of look (ENL) values will increase bias on incoherent polarimetric parameters such as the Cloude ...
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