Artificial afforestation area extraction method based on high-resolution remote sensing image

• Main Authors: ZHAO XU, JIRO, CI-WANG SANGPEI, LABAZHUOMA, SONG HAIPEI, WANG JIAHUA, SUOLANG QUZHEN, DEQING ZHUOGA, WANG HUAIQIANG, ZHAXIDUNZHU, DU JUN, LABA
• Format: Patent
• Language: Chinese; English
• Published: 22.11.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides an artificial afforestation area extraction method based on a high-resolution remote sensing image, and the method comprises the steps: obtaining a remote sensing image, and carrying out the preprocessing of the remote sensing image; inputting the preprocessed remote sensing image into a forest land intelligent extraction model to obtain a distribution diagram of all forest lands; edge detection and Hough transformation straight line detection are carried out on the distribution map of all the forest lands to obtain an artificial tree planting area and a natural forest area; and carrying out area calculation on the artificial tree planting area and the natural forest area to obtain artificial tree planting and natural forest area statistical results. According to the invention, the defects of traditional monitoring means in efficiency, cost and accuracy can be overcome, and technical support is provided for large-scale forestry investigation and ecological monitoring. 本发明提供一种基于高分辨率遥感影像的