Visual exploration of uncertainty in remote-sensing classification

被引：41
作者：
van der Wel, FJM
van der Gaag, LC
Gorte, BGH
机构：
[1] Royal Netherlands Meteorol Inst, NL-3730 AE De Bilt, Netherlands
[2] Univ Utrecht, Fac Math & Comp Sci, Dept Comp Sci, NL-3508 TB Utrecht, Netherlands
[3] Int Inst Aerosp Survey & Earth Sci ITC, NL-7500 AA Enschede, Netherlands
来源：
COMPUTERS & GEOSCIENCES | 1998年 / 24卷 / 04期
关键词：
remote sensing classification; uncertainty; visualisation;
D O I：
10.1016/S0098-3004(97)00120-9
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Exploratory analysis of remotely-sensed data aims at acquiring insight as to the stability of possible classifications of these data and their information value for specific applications. For this purpose, knowledge of the uncertainties underlying these classifications is imperative. In this paper, we introduce various measures that summarise for a classification; in a single number per pixel, the distribution and extent of the uncertainties involved. Since exploratory analysis needs effective ways of conveying information to the user, we in addition address various ways of cartographic visualisation of uncertainty. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：335 / 343
页数：9
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