包邮多源遥感影像融合

目录第 1 章绪论··············································································································11.1 多源遥感影像融合的起源与发展······························································11.2 多源遥感影像融合的意义··········································································21.3 多源遥感影像融合研究现状······································································41.3.1 传统遥感影像全色锐化融合研究现状·····················································41.3.2 基于视皮层神经网络的影像融合现状·····················································51.4 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······················································································72.1 PCNN 模型发展背景··················································································72.2 标准PCNN 模型·························································································92.2.1 PCNN 模型描述····················································································92.2.2 PCNN 模型特性·················································································.112.3 双输出PCNN（Dual-output PCNN，DPCNN）模型····························.11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