arXiv:2411.04456math.FAcs.CV2024-11被引 44
提出结构纹理分解模型，用于卫星图像中道路的长条状目标检测
Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images
- 基于变分框架分解图像结构与纹理成分
- 理论证明模型在不同场景下的行为特性
- 算法可有效识别卫星图中的细长道路网络
本文针对第二作者提出的结构-纹理图像分解模型，给出若干理论结果。证明了一个定理，揭示该模型在不同情形下的行为特征。作为定理的直接推论，我们设计了一种用于检测长而细物体的算法，并应用于航空或卫星图像中的道路网络识别任务。
原文摘要 · Abstract (English)
In this paper we present some theoretical results about a structures-textures image decomposition model which was proposed by the second author. We prove a theorem which gives the behavior of this model in different cases. Finally, as a consequence of the theorem we derive an algorithm for the detection of long and thin objects applied to a road networks detection application in aerial or satellite images.
图像分解道路检测变分模型
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