Chen K, Chen B, Liu C, Li W, Zou Z, Shi Z. 2024. RSMamba: remote sensing image classification with state space model.IEEE Geosci Remote Sensing Lett. 21:1–5. doi: 10.1109/LGRS.2024.3407111. (Open in a new window)Web of Science ®(Open in a new window)Google Scholar Chen LC,...
This repository provides the code for the methods and experiments presented in our paper 'Edge-guided Recurrent Convolutional Neural Network for Multi-temporal Remote Sensing Image Building Change Detection'. You can find the PDF of this paper on: https://ieeexplore.ieee.org/document/9524849 If yo...
Code for JSTARS article 'Edge-Guided Parallel Network for VHR Remote Sensing Image Change Detection'. Here I provide PyTorch implementations for EGPNet Requirements RTX 3060 python 3.7 PyTorch 1.13.1 Installation Clone this repo: git clone https://github.com/Lvkyky/EGPNet.git cd EPGNet Test...
Edge-Guided Hierarchical Network for Building Change Detection in Remote Sensing Imagesdoi:10.3390/app14135415Building change detection monitors building changes by comparing and analyzing multi-temporal images acquired from the same area and plays an important role in land resource planning, smart city ...
context aggregationSemantic segmentation of remote sensing imagery (RSI) has obtained great success with the development of deep convolutional neural networks (DCNNs). However, most of the existing algorithms focus on designing end-to-end DCNNs, but neglecting to consider the difficulty of ...
Edge- guided segmentation method for multiscale and high resolu- tion remote sensing image[J]. J. Infrared Millim. Waves ( 谭玉敏,槐建柱,唐中实. 一种边界引导的多尺度高分 辨率遥感图像分割方法. 红外与毫米波学报) ,2010,29 ( 4) : 312-315....
SemanticsFeature extractionMiningAccurate building footprint extraction from optical remote sensing images remains challenging due to the diverse appearance and complex scenarios. Although recent deep learning-based methods have been shown to greatly improve the accuracy of building footprint extraction, ...
change detection; deep learning; feature fusion; edge features; optical remote sensing images1. Introduction Remote sensing change image detection [1] is a technique that analyzes the process of feature changes in remote sensing images of the same geographic area at different times. Through change ...
Finally, the edge of the remote sensing image is detected by the Canny operator. Compared with the previous edge detection methods, the edge detection contour information is more obvious and the pseudo edge is significantly reduced.Hanmin Ye
REMOTE sensingDATA acquisition systemsCLOUD storageEDGE computingSERVER farms (Computer network management)DRONE aircraftTo monitor the status and mission progress of automated guided vehicles (AGVs), most platforms typically obtained real-time data through a data acquisition system that is deployed on the...