Determining optimum pixel size for classification

机译：确定分类的最佳像素大小

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摘要

This work describes a novel method of estimating statistically optimum pixel sizes for classification. Historically more resolution, smaller pixel sizes, are considered better, but having smaller pixels can cause difficulties in classification. If the pixel size is too small, then the variation in pixels belonging to the same class could be very large. This work studies the variance of the pixels for different pixel sizes to try and answer the question of how small, (or how large) can the pixel size be and still have good algorithm performance. Optimum pixel size is defined here as the size when pixels from the same class statistically come from the same distribution. The work first derives ideal results, then compares this to real data. The real hyperspectral data comes from a SOC-700 stand mounted hyperspectral camera. The results compare the theoretical derivations to variances calculated with real data in order to estimate different optimal pixel sizes, and show a good correlation between real and ideal data.

机译：这项工作描述了一种估计统计上最佳像素大小以进行分类的新颖方法。从历史上看，分辨率越高，像素尺寸越小越好，但是像素较小会导致分类困难。如果像素大小太小，则属于同一类别的像素的变化可能会很大。这项工作研究了不同像素大小的像素方差，以尝试回答像素大小可以多小（或多大）并且仍然具有良好的算法性能的问题。最佳像素大小在此定义为当同一类别的像素统计上来自相同分布时的大小。该工作首先得出理想结果，然后将其与真实数据进行比较。真正的高光谱数据来自SOC-700立式高光谱摄像机。结果将理论推导与使用实数据计算的方差进行比较，以估计不同的最佳像素大小，并显示出实数据和理想数据之间的良好相关性。

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来源
《Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XX》|2014年|90880X.1-90880X.10|共10页
会议地点 Baltimore MD(US)
作者
Nicole M. Rodriguez-Carrion; Shawn D. Hunt; Miguel A. Goenaga-Jimenez; Miguel Velez-Reyes;
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作者单位

Electrical and Computer Engineering Department University of Puerto Rico-Mayaguez., Mayaguez, PR USA 00681-3535;

Electrical and Computer Engineering Department University of Puerto Rico-Mayaguez., Mayaguez, PR USA 00681-3535;

Computing and Information Sciences and Engineering Ph.D. Program University of Puerto Rico-Mayaguez., Mayaguez, PR USA 00681-3535;

Electrical and Computer Engineering Department University of Texas at El Paso, El Paso, TX 79968;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Pixel Size; Spatial Resolution; Classification; Variance;

机译：像素大小；空间分辨率；分类;方差;

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Determining optimum pixel size for classification

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