Multi-Kernel Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images
Multi-Kernel Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images
复制标题
VHR 卫星图像中选定纹理区域分割的多核隐式曲线演化
DOI：
10.1109/tgrs.2013.2287239
复制
发表时间：
2014-08-01
影响因子：
8.2
通讯作者：
Brost, Vincent
中科院分区：
文献类型：
--
作者：
Balla-Arabe, Souleymane;Gao, Xinbo;Brost, Vincent
甚高分辨率（VHR）卫星图像提供了大量详细的信息，可用于城市规划，测绘，安全问题或环境监测。然而，这种图像的处理是耗时的，并且从大量数据中提取所需的信息是真实的挑战。对于某些应用，如自然灾害预防和监测（台风、洪水、火灾等），需要使用快速和有效的处理方法。此外，这种方法应是有选择性的，以便只提取有效解释所需的信息。为此，我们提出了一种基于水平集算法和多核理论的纹理区域分割方法。我们设计了一个选择性的局部多核停止函数，其正则化项取决于给定像素的模糊隶属度是否在边界上。由于其本地性质，该方法通过NVIDIA图形处理单元编程来加速。新算法具有选择性强、效率高、速度快的特点。在VHR卫星图像上的实验结果从主观和客观上证明了该方法的有效性。
Very high resolution (VHR) satellite images provide a mass of detailed information which can be used for urban planning, mapping, security issues, or environmental monitoring. Nevertheless, the processing of this kind of image is timeconsuming, and extracting the needed information from among the huge quantity of data is a real challenge. For some applications such as natural disaster prevention and monitoring (typhoon, flood, bushfire, etc.), the use of fast and effective processing methods is demanded. Furthermore, such methods should be selective in order to extract only the information required to allow an efficient interpretation. For this purpose, we propose a texture region segmentation method using the level set algorithm and the multi-kernel theory. We design a selective and local multi-kernel stop function for which the regularization term depends on the fuzzy membership degree of a given pixel to be on the boundary or not. Favored by its local nature, the method is accelerated by means of an NVIDIA graphics processing unit programming. The new algorithm is selective, effective, and fast. Experimental results on VHR satellite images demonstrate subjectively and objectively the effectiveness of the proposed method.