Application of Resonon Pika L Hyperspectral Imaging
Application of Resonon Pika L Hyperspectral Imaging on Individual tree segmentation and tree species classification in subtropical broadleaf forestsAccurate information on tree species is essential in sustainable forest management, ecosystem service assessment, biodiversity monitoring, and ecological environment protection. Therefore, efficient, and cost-effective ways for classifying individual tree species are highly desirable. Traditional ground survey of tree species is time-consuming, labor-intensive, and expensive, which is hard to implement in large area. Remote sensing can acquire feature information over large areas with low cost. Many remote sensing data, such as ultrahigh-resolution RGB, airborne multispectral, hyperspectral, and light detection and ranging (LiDAR) data, have been used in individual tree segmentation and tree species classification. However, many of the previous studies were conducted using single or two types of data. Few studies have been conducted to inte...
2022
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11
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04