High-resolution remote sensing image semi-supervised classification method and device, equipment and medium

• Main Authors: ZHU JISHUAI, AN YUAN, LIU KANG, DENG MEIHUAN, WANG YIWAN
• Format: Patent
• Language: Chinese; English
• Published: 19.10.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a high-resolution remote sensing image semi-supervised classification method and device, equipment and a medium. The method comprises the following steps: preprocessing a remote sensing image; making a ground feature classification sample set according to the processed remote sensing image; constructing a remote sensing image semantic segmentation model based on a Unit + + network, and training the semantic segmentation model through the ground feature classification sample set; constructing a threshold segmentation model based on a near-infrared band; carrying out model fusion on the semantic segmentation model and the threshold segmentation model to obtain a classification model; and classifying the to-be-classified remote sensing images by using the classification model. The remote sensing image semantic segmentation model based on the Unet + + network and the threshold segmentation model based on the near-infrared band are constructed, then the texture information of the remote sen