| 遥感图像面状目标识别的智能可视化模型 |
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| 引用本文： | 余旭初,刘智. 遥感图像面状目标识别的智能可视化模型[J]. 测绘学院学报, 1996, 0(3) |
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| 作者姓名： | 余旭初 刘智 |
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| 基金项目： | 测绘遥感国家重点实验室基金 |
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| 摘 要： | 建立实用的遥感图像分析系统涉及诸多因素，其中，形成有效的目标提取算法体系和设立适于目前人工智能水平的基于知识的框架是两个核心问题。本文提出了一种利用对光谱特征空间分布进行可视化图形处理的新的分类方案，继而以光谱、纹理和空间知识对分类结果进行优化。这种集可视化分析、栅格ＧＩＳ处理功能和人类判读专家知识于一体的系统为解决遥感图像地物识别这一复杂问题提供了有效途径。
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| 关 键 词： | 遥感图像识别，人工智能，基于知识的系统，可视化 |
An Intelligent Visualization Model for Regional Object Recognition from Remotely Sensed Imagery |
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| Yu Xuchu, Liu Zhi. An Intelligent Visualization Model for Regional Object Recognition from Remotely Sensed Imagery[J]. Journal of Institute of Surveying and Mapping, 1996, 0(3) |
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| Authors: | Yu Xuchu Liu Zhi |
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| Affiliation: | Yu Xuchu; Liu Zhi |
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| Abstract: | Many factors must be taken into account in the establishment of an usable remote sensing imags analysis system. Two main issues are the formation of effective object extraction algorithms and the construction of a knowledge --based framework suitting current Al status. The paper presents a new classification scheme based on the visualizing graphic processing of spectral feature space. The results are further refined by the spectral. textural and spatial knowledge bases. The system which incoporates visualization analysis. raster GIS functions, and knowledge of mankind interpretation experts offers an effective way for solving such complicated problems as object recognition from remotely sensed images. |
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| Keywords: | Remote sensing image recognition Artificial intelligence Knowledge-based system Visualization |
| 本文献已被 CNKI 等数据库收录！ |
