CONSERVATIVE BIAS IN CLASSIFICATION ACCURACY ASSESSMENT DUE TO PIXEL-BY-PIXEL COMPARISON OF CLASSIFIED IMAGES WITH REFERENCE GRIDS

被引：56

作者：

VERBYLA, DL ^{[1
]}

HAMMOND, TO ^{[1
]}

机构：

[1] UNIV ALASKA FAIRBANKS,SCH AGR & LAND RESOURCES MANAGEMENT,DEPT FOREST SCI,POB 757200,FAIRBANKS,AK 99775

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 1995年 / 16卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1080/01431169508954424

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The use of reference grids derived from aerial photography for a pixel-by-pixel comparison with classified images can yield conservative estimates of classification accuracy. Even if the class assignment of each polygon is 100 per cent correct, and there is no change in cover type due to temporal differences between the reference data and the classified image, conservative bias in estimates of classification accuracy are still possible. In this letter, we discuss two major sources of this potential bias: 1. positional errors, and 2. difference between polygon minimum mapping unit (MMU) area and pixel size of the classified image.

引用

页码：581 / 587

页数：7

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