“…Given their powerful abilities to extract information, deep learning methods are used to complete complex segmentation and classification tasks on the basis of the extraction of high‐level features (Hamylton et al, 2020; Li & Hsu, 2020). Moreover, these approaches outperform traditional methods when classifying low‐level features (Li et al, 2020; Li, Zhou, Hsu, Li, & Ren, 2017; Nogueira, Penatti, & Dos Santos, 2017). However, due to the homogeneity of the objects and the backgrounds (Chen et al, 2019), deep learning methods demonstrate low boundary accuracy, especially when extracting natural objects.…”