Evaluation of Dimensionality Reduction Methods for Remote Sensing Images Using Classification and 3D Visualization

机译：利用分类和3D可视化评估遥感图像的降维方法

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Visual exploration is a natural way to understand the content of a data archive. If the data are multidimensional, the dimensionality reduction is an appropriate preprocessing step before the data visualization. In literature, two types of approaches are devoted to dimensionality reduction: feature selection and feature extraction algorithms. Both techniques intend to project a high dimensional space into a new one, with reduced dimensionality, preserving data inherent information. This paper aims to identify the similarity degree between low and high dimensional representations of a data archive using the optimal number of semantic classes as a criterion. This number is estimated based on the rate distortion theory being computed both before and after dimensionality reduction. The projection of the low dimensional space was obtained using one feature selection and six feature extraction methods.

机译：视觉探索是理解数据存档内容的自然方法。如果数据是多维的，则降维是数据可视化之前的适当预处理步骤。在文献中，有两种类型的方法专门用于降维：特征选择和特征提取算法。两种技术都打算将高维空间投影到一个新的空间中，而维空间却减小了，从而保留了数据固有的信息。本文旨在以最佳语义类别数量为准则，确定数据档案库的低维和高维表示之间的相似度。该数量是根据降维之前和之后计算的速率失真理论估算的。低维空间的投影是使用一种特征选择和六种特征提取方法获得的。

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《International conference on advanced concepts for intelligent vision systems》|2017年|203-211|共9页
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Andreea Griparis; Daniela Faur; Mihai Datcu;
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关键词
Visualization; Classification; Dimensionality reduction; Multispectral image; Feature selection; Feature extraction;

机译：可视化;分类;降维;多光谱图像;功能选择;特征提取;

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专利

1. Parallel faithful dimensionality reduction to enhance the visualization of remote sensing imagery [J] . Najim Safa A., Najim Alaa A., Lim Ik Soo, Neurocomputing . 2015,第nova30期

机译：并行忠实降维可增强遥感影像的可视化
2. A fast separability-based feature-selection method for high-dimensional remotely sensed image classification [J] . Guo BF, Damper RI, Gunn SR, Pattern Recognition: The Journal of the Pattern Recognition Society . 2008,第5期

机译：基于快速可分离性的高维遥感图像分类特征选择方法
3. The Three Indices Three Dimensions (3I3D) algorithm: a new method for forest disturbance mapping and area estimation based on optical remotely sensed imagery [J] . Francini Saverio, McRoberts Ronald E., Giannetti Francesca, International journal of remote sensing . 2021,第11a12期

机译：三维三维三维（3i3d）算法：基于光远程感测图像的森林扰动映射和面积估计的新方法
4. Evaluation of Dimensionality Reduction Methods for Remote Sensing Images Using Classification and 3D Visualization [C] . Andreea Griparis, Daniela Faur, Mihai Datcu International Conference on Advanced Concepts for Intelligent Vision Systems . 2017

机译：使用分类和3D可视化评估遥感图像的维度减少方法
5. Development and evaluation of algorithms and methodologies of an automated spatial change information extraction system from remotely sensed imagery. [D] . Dai, Xiaolong. 1997

机译：从遥感影像中提取自动空间变化信息系统的算法和方法，并进行评估。
6. A Method for Application of Classification Tree Models to Map Aquatic Vegetation Using Remotely Sensed Images from Different Sensors and Dates [O] . Hao Jiang, Dehua Zhao, Ying Cai, 2012

机译：应用分类树模型通过来自不同传感器和日期的遥感图像绘制水生植被的方法
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Evaluation of Dimensionality Reduction Methods for Remote Sensing Images Using Classification and 3D Visualization

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