Mirror of https://huggingface.co/SeyedAli/Remote-Sensing-UAV-image-classification
端到端的SAR自动目标识别:首先从复杂场景中检测出潜在目标,提取包含潜在目标的图像切片,然后将包含目标的图像切片送入分类器,识别出目标类型。 目标检测可以用经典的恒虚警率(CFAR),为了展现全卷积网络对于目标检测仍有良好的效果,选择采用两级全卷积网络,第一级用于目标检测,第二级用于目标分类。
MATLB上64QAM调制解调系统仿真
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:satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.