The Extraction of Deformation Zone in Insar Based on the Lightweight Designed Model Bisnet Network

In the identification of geological hazards in a wide area, the rapid extraction of deformation areas in the InSAR phase becomes an important part of whether the hazards can be quickly and accurately identified. In practical applications, there is a significant difference in the size of deformation regions over a wide area. Therefore, this article uses the Bilateral Segmentation Network (Bisenet), which calculates in parallel through two branches. We first utilize a small step spatial path to preserve spatial information and generate high-resolution features. Meanwhile, a context path with a fast downsampling strategy is employed to obtain sufficient receptive fields. On top of these two paths, we utilize a new feature fusion module to effectively combine features. This greatly improves the extraction speed while preserving multilayer feature fusion and preserving information extraction results at different scales. A suitable balance has been achieved between speed and segmentation performance, which well meets the current work of identifying geological hazards in wide areas.