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Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis

机译：具有高维度和低样本大小的特征选择解决方案，用于基于对象的图像分析中的土地覆盖分类

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Yaohuan Huang; Chuanpeng Zhao; Haijun Yang; Xiaoyang Song; Jie Chen; Zhonghua Li;
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年度 2017
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1. Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis [J] . Yaohuan Huang, Chuanpeng Zhao, Haijun Yang, Remote Sensing . 2017,第9期

机译：基于对象的图像分析中高维低样本特征选择解决方案
2. Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis [J] . CAROLINA MOUTINHO DUQUE DE PINHO, LEILA MARIA GARCIA FONSECA, THALES SEHN KORTING, International journal of remote sensing . 2012,第19a20期

机译：使用高分辨率图像和基于对象的图像分析对城市内部环境进行土地覆盖分类
3. Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover [J] . Eduarda Martiniano de Oliveira Silveira, Michele Duarte de Menezes, Fausto Weimar Acerbi Junior, Journal of Applied Remote Sensing . 2017,第3期

机译：对对比景观植被覆盖物的基于对象的图像分类的地统计特征评估
4. Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task [C] . Dernoncourt David, Hanczar Blaise, Zucker Jean-Daniel IEEE 12th International Conference on Bioinformatics amp; Bioengineering : Final Program amp; Abstract Book. . 2012

机译：高维低样本基因表达分类任务特征选择稳定性的实验分析
5. Object-Based Land Cover Classification of UAV True Color Imagery [D] . Castillo, Stephen M. 2020

机译：基于对象的土地覆盖范围UAV真彩色图像
6. Histogram Curve Matching Approaches for Object-based Image Classification of Land Cover and Land Use [O] . Sory I. Toure, Douglas A. Stow, John R. Weeks, -1

机译：直方图曲线匹配方法在基于对象的土地覆被和土地利用图像分类中的应用
7. Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers [O] . Lei Ma, Tengyu Fu, Thomas Blaschke, 2017

机译：基于随机森林和支持向量机分类器的无人机图像基于对象的土地覆盖制图特征选择方法评价

Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis

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