ECA-MobileNetV3(Large)+SegNet Model for Binary Sugarcane Classification of Remotely Sensed Images

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DOI:10.1109/tgrs.2022.3215802
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/TGRS.2022.3215802

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：In recent years, several models based on fully convolutional neural networks have been proposed. These models mainly focused on improving accuracy but ignored computational efficiency. For t

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