多源遥感专题信息比较研究：现状、问题与展望

doi:10.11867/j.issn.1001-8166.2011.07.0741

由于传感器特性、信息提取方法、模拟模型等不同，从多源、多时相的遥感数据获取各种遥感专题信息之间不可避免存在差异，在数据应用之前常常需要对这些专题信息进行比较和评价。多源遥感专题信息比较方法多种多样，依据处理单元或处理对象特性将多源遥感专题信息比较方法分为三大类：基于像元误差矩阵的比较、基于格局特征的比较和其他比较方法。首先总结了当前这几类遥感专题信息进行比较的方法和评价指标，分析了这些多源遥感信息比较方法和评价指标的优点和局限性。其次对多源专题信息提取算法、专题信息本身特性、多源信息比较方法和评价指标造成的不确定性问题以及多尺度信息比较过程中存在的问题进行了分析。最后从遥感专题数据产品的研发小组和用户的角度指出数据集在生成和应用过程中值得注意的几个问题。

关键词: 多源遥感信息, 比较, 精度评价, 空间格局, 相似度

Because there are some distinctions in remote sensor characteristics, the methods to abstract information, models for simulation and so on, some differences between the same thematic information may present inevitably. Inter-comparison should be performed before these thematic data being used. Different maps can be compared in a variety of ways. In this paper, the comparison methods are divided into three classes depending on the processed unit, that are comparison based on confusion matrix with pixel unit, comparison based on pattern features with object unit and the others. The advantages and disadvantages of these methods and their corresponding evaluation indexes are stated systematically. Then some uncertainty problems, which are caused by the nature of comparison methods and evaluating indicators, map characteristics, and the scale effect in multi-resolution data, are analyzed. At last, some attentions that should be paid on are presented for satellite product development teams and product users.

Key words: Multi-source information, Comparison, Accuracy assessment, Spatial pattern, Similarity.

中图分类号:

TP75

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摘要

Comparison of Multi-Sources Remote Sensing Thematic Information: Progresses, Problems and Prospects