1) 提出了一种基于NestedUNet的密集连接SNUNet-CD,用于遥感变化检测。SNUNet-CD可以减轻神经网络深层定位信息的丢失。 2) 提出了ECAM算法,对多个语义层次的特征进行聚合和细化,在一定程度上抑制了语义缺口和定位错误。 3) 通过一系列的实验比较,提出的方法在F1-Score和计算复杂度方面都优于其他的国家最先进的方法(SO...
基于Paddle2.0复现SNUNet-CD paper:SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images github:https://github.com/likyoo/Siam-NestedUNet 1. 准备工作 克隆PdRSCD 克隆PdRSCD是模仿paddleseg,基于paddlepaddle的一个变化检测工具,能够快速的进行遥感变化检测任务 其主要变化是基于pad...
News: 🎁🎁🎁 SNUNet-CD is supported inOpenCDand gets better results !!! You can find somethinghere. Enjoy it ~ 😋😋😋 The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images". The paper is published on IEEE Geoscience and...
SNUNet-CD alleviates the loss of localization information in the deep layers of neural network through compact information transmission between encoder and decoder, and between decoder and decoder. In addition, Ensemble Channel Attention Module (ECAM) is proposed for deep supervision. Through ECAM, the...
基于Paddle2.0复现SNUNet-CD paper:SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images github:https://github.com/likyoo/Siam-NestedUNet 1. 准备工作 克隆PdRSCD 克隆PdRSCD是模仿paddleseg,基于paddlepaddle的一个变化检测工具,能够快速的进行遥感变化检测任务 其主要变化是基于pad...
News: 🎁🎁🎁 SNUNet-CD is supported inOpenCDand gets better results !!! You can find somethinghere. Enjoy it ~ 😋😋😋 The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images". The paper is published on IEEE Geoscience and...