利用U-Net神经网络的多光谱图像草地特征提取OACSTPCD

In this paper,we proposed a feature analysis method incorporating U-Net neural network for grass recognition in multi-spectral imag-es,which addressed the problems of fusion of waveband information,large amount of computational data and easy confusion of contextual se-mantic information in feature extraction of UAV multi-spectral images.Firstly,we preprocessed the images,and eliminated undesirable interfer-ences through HO correction,radiation correction and image alignment.Then,we used principal component analysis and correlation analysis to select the feature bands.Finally,we built a U-Net neural network to extract grass features and identify the extent of grass in the sample images.The simulation experiments show that the method has high feature recognition and extraction accuracy and is feasible.