Object-Based Spatial Feature for Classification of Very High Resolution Remote Sensing Images

Zhang P.; Lv Z.; Shi W.Z.

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Object-Based Spatial Feature for Classification of Very High Resolution Remote Sensing Images

机译：基于对象的空间特征用于超高分辨率遥感影像的分类

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摘要

This letter presents a novel spatial feature called object correlative index (OCI) to enhance the classification of very high resolution images. This novel method considers the property of an image object based on spectral similarity to construct a useful OCI to describe the spatial information objectively. Compared with the generic features widely used in image classification, the classification approach based on the OCI spatial feature results in higher classification accuracy than those approaches that only consider spectral features or pixelwise spatial features, such as the pixel shape index and mathematical morphology profiles. Experiments are conducted on QuickBird satellite image and aerial photo data, and results confirm that the proposed method is feasible and effective.

机译：这封信提出了一种称为对象相关指数（OCI）的新颖空间特征，以增强超高分辨率图像的分类。这种新颖的方法基于光谱相似性来考虑图像对象的属性，以构建有用的OCI来客观地描述空间信息。与在图像分类中广泛使用的通用特征相比，基于OCI空间特征的分类方法比仅考虑光谱特征或逐像素空间特征（例如像素形状指数和数学形态学轮廓）的方法具有更高的分类精度。对QuickBird卫星图像和航拍照片数据进行了实验，结果证明了该方法的可行性和有效性。

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来源
《IEEE Geoscience and Remote Sensing Letters》 |2013年第6期|1572-1576|共5页
作者
Zhang P.; Lv Z.; Shi W.Z.;
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作者单位

School of Remote Sensing and Information Engineering, Wuhan University , Wuhan, China|c|;

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原文格式 PDF
正文语种 eng
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关键词
Classification of very high resolution (VHR) image; object correlative index (OCI); spatial feature; spectral feature;

机译：超高分辨率（VHR）图像的分类;对象相关指数（OCI）;空间特征;光谱特征;

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1. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search [J] . Lei Shi, Youchuan Wan, Xianjun Gao, Computational intelligence and neuroscience . 2018,第3期

机译：遗传算法与禁忌搜索相结合的高分辨率遥感影像基于对象分类的特征选择
2. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search [J] . Lei Shi, Youchuan Wan, Xianjun Gao, Computational intelligence and neuroscience . 2018,第Pta1期

机译：基于对象的基于对象的分类的特征选择，高分辨率遥感图像的基于遗传算法和禁忌搜索的组合
3. An adaptively weighted multi-feature method for object-based change detection in high spatial resolution remote sensing images [J] . Wu Junzheng, Li Biao, Ni Weiping, Remote sensing letters . 2020,第4a6期

机译：高空间分辨率遥感图像中基于对象的变化检测的自适应加权多特征方法
4. Object-based Multi-feature Classification of High Spatial Resolution Remote Sensing Image [C] . Xiande Huang, Heng Chu, Ruyan Wang International Conference on Energy Science and Applied Technology . 2015

机译：基于对象的高空间分辨率遥感图像的多特征分类
5. Object-based vegetation classification with high resolution remote sensing imagery. [D] . Yu, Qian. 2005

机译：基于对象的植被分类和高分辨率遥感影像。
6. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search [O] . Lei Shi, Youchuan Wan, Xianjun Gao, 2018

机译：遗传算法与禁忌搜索相结合的高分辨率遥感影像基于对象分类的特征选择
7. Object-based spatial feature for classification of very high resolution remote sensing images [O] . Zhang, P, Lv, Z, Shi, W 2013

机译：基于对象的空间特征，用于对超高分辨率遥感影像进行分类

Object-Based Spatial Feature for Classification of Very High Resolution Remote Sensing Images

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