目錄
第 1 章緒論··············································································································1
1.1 多源遙感影像融合的起源與發(fā)展······························································1
1.2 多源遙感影像融合的意義··········································································2
1.3 多源遙感影像融合研究現(xiàn)狀······································································4
1.3.1 傳統(tǒng)遙感影像全色銳化融合研究現(xiàn)狀·····················································4
1.3.2 基于視皮層神經(jīng)網(wǎng)絡的影像融合現(xiàn)狀·····················································5
1.4 多源遙感影像融合研究的關鍵問題··························································5
第2 章 PCNN 模型及特性······················································································7
2.1 PCNN 模型發(fā)展背景··················································································7
2.2 標準PCNN 模型·························································································9
2.2.1 PCNN 模型描述····················································································9
2.2.2 PCNN 模型特性·················································································.11
2.3 雙輸出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 彩色空間····················································································16
2.4.2 CDPCNN 模型描述·············································································18
2.5 SAPCNN 模型··························································································.20
2.5.1 SAPCNN 模型設計·············································································20
2.5.2 SAPCNN 模型分析·············································································21
2.6 其他PCNN 相關模型··············································································.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 本章小結··································································································.26
第3 章結合 PCNN 模型的遙感影像配準····························································27
3.1 研究背景··································································································.28
3.2 遙感影像配準國內外研究現(xiàn)狀·······························································.28
3.2.1 基于區(qū)域的影像配準算法····································································28
3.2.2 基于特征的影像配準算法····································································29
3.3 基于自適應PCNN 分割的遙感影像配準算法·······································.31
3.3.1 算法總體框架·····················································································32
3.3.2 PCNN 影像分割··················································································32
3.3.3 參數(shù)自適應PCNN 設計·······································································34
3.3.4 分割區(qū)域描述與匹配···········································································36
3.3.5 基于FSC 的配準模型參數(shù)求解····························································39
3.3.6 實驗與分析························································································40
3.4 基于PCNN 分割與點特征的多源遙感影像配準算法···························.43
3.4.1 算法總體框架·····················································································44
3.4.2 UR-SIFT 點特征提取與匹配································································45
3.4.3 自適應PCNN 分割區(qū)域匹配································································50
3.4.4 實驗與分析························································································51
3.5 本章小結··································································································.58
第4 章 PCNN 分割特性與遙感影像全色銳化融合·············································59
4.1 研究背景··································································································.59
4.2 PCNN 遙感影像分割···············································································.59
4.3 PSBP 算法································································································.60
4.4 實驗結果··································································································.62
4.4.1 實驗數(shù)據(jù)···························································································62
4.4.2 評價指標···························································································63
4.4.3 參數(shù)設置···························································································63
4.4.4 對比實驗···························································································64
4.5 本章小結··································································································.68
第5 章 PCNN 參數(shù)優(yōu)化與遙感影像全色銳化融合·············································69
5.1 研究背景··································································································.69
5.2 SMA 自適應PCNN 參數(shù)優(yōu)化算法·························································.70
5.3 實驗結果··································································································.71
5.3.1 實驗數(shù)據(jù)···························································································71
5.3.2 評價指標···························································································72
5.3.3 對比實驗···························································································72
5.3.4 SAR 影像與多光譜影像的融合實驗結果···············································75
5.4 本章小結··································································································.77
第6 章遙感影像全色銳化融合模型·····································································78
6.1 研究背景··································································································.78
6.2 PPCNN 模型·····························································································.78
6.2.1 模型表達···························································································78
6.2.2 模型執(zhí)行···························································································80
6.2.3 PPCNN 模型在遙感影像融合中的應用··················································81
6.3 全色銳化融合實驗結果···········································································.82
6.3.1 實驗數(shù)據(jù)集························································································82
6.3.2 參數(shù)設置···························································································83
6.3.3 對比實驗···························································································84
6.4 雷達影像與光學影像實驗·······································································.90
6.5 本章小結··································································································.92
第7 章基于 PCNN 的衛(wèi)星多光譜影像與無人機航拍影像融合·························93
7.1 研究背景··································································································.93
7.2 衛(wèi)星多光譜影像與無人機航拍影像融合算法········································.94
7.3 實驗結果··································································································.95
7.3.1 實驗數(shù)據(jù)集························································································95
7.3.2 PCNN 參數(shù)優(yōu)化··················································································96
7.3.3 融合質量評價指標··············································································97
7.3.4 對比實驗···························································································97
7.4 本章小結··································································································.99
第8 章 PCNN 與高光譜影像融合······································································100
8.1 研究背景································································································.100
8.2 PCNN 與高光譜影像融合算法······························································.100
8.2.1 算法總體框架···················································································100
8.2.2 MSD-MCC 波段匹配·········································································101
8.2.3 IPCNN 模型·····················································································102
8.2.4 CSA 優(yōu)化IPCNN 關鍵參數(shù)································································104
8.2.5 提取影像細節(jié)···················································································105
8.2.6 自適應細節(jié)注入與融合輸出·······························································106
8.3 實驗結果································································································.107
8.3.1 實驗數(shù)據(jù)集······················································································107
8.3.2 參數(shù)設置·························································································108
8.3.3 實驗結果························································································.110
8.3.4 消融實驗························································································.115
8.4 本章小結································································································.118
第9 章總結與展望·····························································································.119
9.1 多源遙感影像配準與融合的研究總結··················································.119
9.2 多源遙感影像融合的發(fā)展趨勢·····························································.121
參考文獻··················································································································122