基于街景圖像和深度學(xué)習(xí)的城市道路植物景觀視覺質(zhì)量評價
打開文本圖片集
中圖分類號：S759.92 文獻(xiàn)標(biāo)志碼：A 文章編號：1673-923X（2025）07-0205-12
Evaluation of urban roadway plant landscape visual quality using street view images and deep learning
CHENYiduo，HUHaihui
（ColegeofHorticlturedLdscapetecture，oreastgulturalUesityabino，Heiog，ia）
Abstract：【Objectie】Inurbanroadnetworksplantlandscapesalongroadsidesareotolyetiallementsofurbanbeauifcationbut alsodirectlyimpactresidentsqualityoflifeandurbaecologicalbalanceUnderstandingthedistrbutionoftevisualqualityofurbnoad plantlandscapesand their influencing factors canprovidetheoreticalsupportfor future urbanroad plant landscape planningand design. 【Method】Taking Harbin asacasestudy，weutilized stret viewimagedata andcombinedthe SegNeXtsemanticsegmentation model withtheSENetdeepleaingmodeltoquantifyindicatorssuchasthegreeviewindex.Acomprehensiveevaluationofplantadscape visual qualitywasconductedusingtheTrueSkillscoringsystemandtherandomforestalgorithm.【Result】1）Scores forplantandscape evaluationiatoossballibcttlotoeer districtscoredlower2）ereasasignificantpositivecoelationetweentheGVandboththeCIandPLDsugestingutal enhancement;howee，angativeoelationasevedbeweenstructuralLRandtheGVI，andbetweenndD.3）In the visual quality evaluation model based onrandom forest，PLMC had over 50% feature importance，indicating that PLMC is theprimary factorinpredictigalalt4vallalalitabn'stdastedteelih concentrationineothwestegion，iletherarasispladaixeddistrbutioofghndlosoes.【Cocsion】oosd visualqualityvaluationmetodprovidesateoreicalbasisfortesieificplainganddesignofurbanplatandscaps，withpotetial for broader application to other cities， promoting sustainable urban landscape development.
Keywords：semantic segmentation;random forest;roadwayplantlandscape;street view images;visualquality
城市道路是城市中供車輛、行人和其他交通方式通行的線性交通通道，是構(gòu)成城市交通網(wǎng)絡(luò)的重要組成部分。（剩余16875字）