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| 內容簡介： |
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本书从多源遥感成像机理和人眼视觉对影像的理解出发，研究了结合PCNN 的配准算法及基于PCNN 的全色影像、多光谱影像、高分辨率SAR 影像、无人机航拍影像和高光谱影像等多源遥感影像融合的理论与算法。首先，简要介绍了多源遥感影像融合的起源与现状。其次，回顾了PCNN 的几种常见模型。鉴于遥感影像配准是实现遥感影像像素级融合的前提，本书提出了两种基于自适应PCNN 分割的遥感影像配准算法。在后续章节中，本书主要研究并提出了结合PCNN 分割特性的全色锐化融合算法、参数优化的PCNN 全色锐化融合算法、改进PCNN 的全色锐化融合模型、基于PCNN 的卫星多光谱影像与无人机航拍影像融合算法和基于PCNN 的高光谱影像融合算法等。本书内容为作者团队多年来取得的科研成果，涵盖了基于PCNN 及其改进模型在全色影像、多光谱影像、高分辨率SAR 影像、无人机航拍影像和高光谱影像等多源遥感影像融合中的最新成果。这些成果不仅丰富了遥感影像配准与融合理论，也为相关领域的研究提供了借鉴与支持。
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| 關於作者： |
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李小军，理学博士，博士后，硕士生导师。曾工作于中国工程物理研究院电子工程研究所，任职副研究员。现工作于兰州交通大学测绘与地理信息学院，任职副教授。主持了多项军委装备发展部跨行业预研重点项目及国家自然科学基金项目。发表SCI、EI论文十余篇，获批国家发明专利2项，研究领域主要包括遥感数字影像处理、影像融合和神经网络等。
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| 目錄：
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目录
第 1 章绪论··············································································································1
1.1 多源遥感影像融合的起源与发展······························································1
1.2 多源遥感影像融合的意义··········································································2
1.3 多源遥感影像融合研究现状······································································4
1.3.1 传统遥感影像全色锐化融合研究现状·····················································4
1.3.2 基于视皮层神经网络的影像融合现状·····················································5
1.4 多源遥感影像融合研究的关键问题··························································5
第2 章 PCNN 模型及特性······················································································7
2.1 PCNN 模型发展背景··················································································7
2.2 标准PCNN 模型·························································································9
2.2.1 PCNN 模型描述····················································································9
2.2.2 PCNN 模型特性·················································································.11
2.3 双输出PCNN（Dual-output PCNN，DPCNN）模型····························.11
2.3.1 DPCNN 模型描述···············································································12
2.3.2 DPCNN 模型特性···············································································14
2.4 彩色DPCNN（Color DPCNN，CDPCNN）模型··································.16
2.4.1 HSV 彩色空间····················································································16
2.4.2 CDPCNN 模型描述·············································································18
2.5 SAPCNN 模型··························································································.20
2.5.1 SAPCNN 模型设计·············································································20
2.5.2 SAPCNN 模型分析·············································································21
2.6 其他PCNN 相关模型··············································································.24
2.6.1 ICM 模型描述····················································································24
2.6.2 SCM 模型描述···················································································25
2.6.3 DQPCNN 模型描述·············································································25
2.7 本章小结··································································································.26
第3 章结合 PCNN 模型的遥感影像配准····························································27
3.1 研究背景··································································································.28
3.2 遥感影像配准国内外研究现状·······························································.28
3.2.1 基于区域的影像配准算法····································································28
3.2.2 基于特征的影像配准算法····································································29
3.3 基于自适应PCNN 分割的遥感影像配准算法·······································.31
3.3.1 算法总体框架·····················································································32
3.3.2 PCNN 影像分割··················································································32
3.3.3 参数自适应PCNN 设计·······································································34
3.3.4 分割区域描述与匹配···········································································36
3.3.5 基于FSC 的配准模型参数求解····························································39
3.3.6 实验与分析························································································40
3.4 基于PCNN 分割与点特征的多源遥感影像配准算法···························.43
3.4.1 算法总体框架·····················································································44
3.4.2 UR-SIFT 点特征提取与匹配································································45
3.4.3 自适应PCNN 分割区域匹配································································50
3.4.4 实验与分析························································································51
3.5 本章小结··································································································.58
第4 章 PCNN 分割特性与遥感影像全色锐化融合·············································59
4.1 研究
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