目錄第 1 章緒論··············································································································11.1 多源遙感影像融合的起源與發(fā)展······························································11.2 多源遙感影像融合的意義··········································································21.3 多源遙感影像融合研究現(xiàn)狀······································································41.3.1 傳統(tǒng)遙感影像全色銳化融合研究現(xiàn)狀·····················································41.3.2 基于視皮層神經(jīng)網(wǎng)絡(luò)的影像融合現(xiàn)狀·····················································51.4 多源遙感影像融合研究的關(guān)鍵問題··························································5第2 章 PCNN 模型及特性······················································································72.1 PCNN 模型發(fā)展背景··················································································72.2 標(biāo)準(zhǔn)PCNN 模型·························································································92.2.1 PCNN 模型描述····················································································92.2.2 PCNN 模型特性·················································································.112.3 雙輸出PCNN（Dual-output PCNN，DPCNN）模型····························.11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(luò)的影像融合現(xiàn)狀·····················································5 1.4 多源遙感影像融合研究的關(guān)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(biāo)準(zhǔn)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(shè)計·············································································20 2.5.2 SAPCNN 模型分析·············································································21 2.6 其他PCNN 相關(guān)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(jié)··································································································.26 第3 章結(jié)合 PCNN 模型的遙感影像配準(zhǔn)····························································27 3.1 研究背景··································································································.28 3.2 遙感影像配準(zhǔn)國內(nèi)外研究現(xiàn)狀·······························································.28 3.2.1 基于區(qū)域的影像配準(zhǔn)算法····································································28 3.2.2 基于特征的影像配準(zhǔn)算法····································································29 3.3 基于自適應(yīng)PCNN 分割的遙感影像配準(zhǔn)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(yīng)PCNN 設(shè)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(zhǔn)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(zhǔn)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(yīng)PCNN 分割區(qū)域匹配································································50 3.4.4 實驗與分析························································································51 3.5 本章小結(jié)··································································································.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