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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Positive and Negative Information for Assessing and Revising Scores of Burn Evidence
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Positive and Negative Information for Assessing and Revising Scores of Burn Evidence

机译：评估和修订烧伤证据分数的正面和负面信息

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摘要

A straightforward way to map burned areas from remotely sensed imagery is to integrate partial evidence of burn provided by multiple spectral indices (SIs). Our approach relies on fuzzy set theory to generate integrated layers of overall positive evidence (PE) and negative evidence (NE) scores. In order to reduce commission errors, we propose the use of NE for revising the overall PE. Revised layers are input for a region growing algorithm to produce a map of burned areas. Thematic Mapper (TM) images, acquired over the Mediterranean area, were used to derive the SIs and to define the soft constraints (membership functions). The performance of the revision process is tested for a TM image acquired over Portugal: The revision decreases the commission error from 59.5% to 1.3% and increases the overall accuracy from 42.6% up to 91.3%.
机译：从遥感影像绘制烧伤区域的直接方法是整合由多个光谱指数（SI）提供的烧伤的部分证据。我们的方法依赖于模糊集理论来生成整体的整体阳性证据（PE）和阴性证据（NE）分数层。为了减少佣金错误，我们建议使用NE来修改整体PE。为区域增长算法输入修改后的图层，以生成燃烧区域图。在地中海地区获得的专题Mapper（TM）图像用于得出SI并定义软约束（成员函数）。对于在葡萄牙获得的TM图像，对修订过程的性能进行了测试：修订将佣金误差从59.5％降低到1.3％，并将总体准确度从42.6％提高到91.3％。

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