Multi-feature identification method based on high-resolution remote sensing image
一种遥感图像、高分辨率的技术,应用在遥感图像处理领域,能够解决信息贫乏、同物异谱、数据量大等问题,达到提高识别能力、提高识别精度、省时省力精度的效果
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[0048] Attached below Figures 1 to 11-3 The present invention is described in detail, including the following data bases: original high-resolution remote sensing images (four bands of red, blue, green and near-infrared), DSM (Digital Surface Model) data and ground truth label data; identify according to the following steps:
[0049] 1), the original high-resolution (spatial resolution is 0.05 × 0.05 meters, image size is 6000 × 6000 pixels) remote sensing image is preprocessed; the multi-feature remote sensing image of NDVI data is obtained by band operation; construction includes all The original high-resolution remote sensing image (four bands of red, blue, green and near-infrared), DSM (digital surface model) data and six-channel remote sensing image of NDVI data are used as the multi-feature input source of the fully convolutional network;
[0050] 2), the multi-feature remote sensing image obtained in step 1) and the ground truth label data corresponding to the multi-fea...
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