Farmland fertilization grid detection method based on nested encoder network

• Main Authors: YU WEIXUE, LI GUANQUN
• Format: Patent
• Language: Chinese; English
• Published: 26.05.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention relates to the technical field of data processing, and discloses a farmland fertilization grid detection method based on a nested encoder network, and the method comprises the steps: obtaining a farmland remote sensing image; obtaining a feature image according to the nested encoder network; and inputting the feature image into a grid detection network to obtain a grid detection result. The farmland remote sensing image fertilization uniformity grid detection method based on the nested UNet network has the capability of effectively extracting useful information from a remote sensing image by virtue of a deep learning technology, and overcomes the limitation of a traditional image analysis method; according to the invention, the fertilization uniformity distribution of the farmland remote sensing image to be tested can be given in a percentage grid form. 本发明涉及数据处理技术领域，公开了一种基于嵌套编码器网络的农田施肥栅格检测方法，包括：获取农田遥感图像；根据嵌套编码器网络得到特征图像；将所述特征图像输入至栅格检测网络，得到栅格检测结果。基于嵌套UNet网络的农田遥感图像施肥均匀性栅格检测方法凭借深度学习技术，具有从遥感影像中有效提取有