WebSep 9, 2024 · Firstly, a strip attention module (SAM) is designed to extract the contextual information and spatial position information of the roads. Secondly, a channel attention … WebDec 10, 2024 · We propose a connectivity attention network (CoANet) for road extraction from satellite imagery. We first introduce an encoder-decoder architecture network to learn the feature of roads, where the Atrous Spatial Pyramid Pooling module (ASPP) is adopted to increase the receptive field of feature points and capture multi-scale features.

Remote Sensing Image Road Extraction Network Based on MSPFE …

WebAt present, deep-learning methods have been widely used in road extraction from remote-sensing images and have effectively improved the accuracy of road extraction. However, these methods are still affected by the loss of spatial features and the lack of global context information. To solve these problems, we propose a new network for road extraction, the … WebNov 19, 2024 · Since the strip convolution is more aligned with the shape of roads, which are long-span, narrow, and distributed continuously. We develop a strip convolution module (SCM) that leverages four strip convolutions to capture long-range context information from different directions and avoid interference from irrelevant regions. tractor supply generators in stock

CoANet: Connectivity Attention Network for Road Extraction From ...

WebLR-RoadNet takes advantage of strip pooling to capture long-range context from horizontal and vertical directions, aiming to improve continuity and completeness of road extraction results. Specifically, the LR-RoadNet consists of two parts: strip resid- ual module (SRM) and strip pyramid pooling module (SPPM). WebJun 1, 2024 · Extracting road maps from high-resolution optical remote sensing images has received much attention recently, especially with the rapid development of deep learning methods. However, most of these CNN based approaches simply focused on multi-scale encoder architectures or multiple branches in neural networks, and ignored some inherent … WebFirstly, a strip attention module (SAM) is designed to extract the contextual information and spatial position information of the roads. Secondly, a channel attention fusion module … tractor supply gear wrench set