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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images
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A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images

机译：基于多层包裹的超高分辨率多时相图像变化检测方法

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摘要

This letter presents a novel parcel-based context-sensitive technique for unsupervised change detection in very high geometrical resolution images. In order to improve pixel-based change-detection performance, we propose to exploit the spatial-context information in the framework of a multilevel approach. The proposed technique models the scene (and hence changes) at different resolution levels defining multitemporal and multilevel ldquoparcelsrdquo (i.e., small homogeneous regions shared by both original images). Change detection is achieved by applying a multilevel change vector analysis to each pixel of the considered images. This technique properly analyzes the multilevel and multitemporal parcel-based context information of the considered spatial position. The adaptive nature of multitemporal parcels and their multilevel representation allow one a proper modeling of complex objects in the investigated scene as well as borders and details of the changed areas. Experimental results confirm the effectiveness of the proposed approach.
机译：这封信提出了一种新颖的基于包裹的上下文相关技术，用于在非常高的几何分辨率图像中进行无监督的变化检测。为了提高基于像素的变化检测性能，我们建议在多级方法的框架内利用空间上下文信息。所提出的技术以不同的分辨率级别对场景（并因此而变化）进行建模，以定义多时相和多级别ldquoparcelsrdquo（即两个原始图像共享的较小均匀区域）。通过对所考虑图像的每个像素应用多级变化矢量分析来实现变化检测。该技术可以适当地分析所考虑的空间位置的基于多级和多时间宗地的上下文信息。多时间地块的适应性及其多级表示允许对所调查场景中的复杂对象以及边界和更改区域的细节进行适当的建模。实验结果证实了该方法的有效性。

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