基于面向?qū)ο筇卣魈崛〉闹参锶~片面積測量方法
發(fā)布時間：2018-03-22 12:25
本文選題：葉面積測量 切入點：面向?qū)ο?/strong> 出處：《西北農(nóng)林科技大學(xué)學(xué)報(自然科學(xué)版)》2017年05期 論文類型：期刊論文
【摘要】：【目的】提出一種基于面向?qū)ο髨D像特征提取的植物葉面積測量方法,為快速、高精度地測量野外采集植物的葉片面積提供支持�！痉椒ā恳話呙鑸D像為基礎(chǔ),借鑒遙感影像的面向?qū)ο髨D像特征提取的思想,獲得掃描對象的矢量輪廓,以此計算其面積,并采用AutoCAD繪制的7種多邊形進(jìn)行重復(fù)試驗,以驗證該方法的精確性;然后進(jìn)一步對青蒿(Artemisia carvifolia)、臭蒿(Artemisia hedinii)、苜蓿(Medicago sativa)3種植物葉片進(jìn)行重復(fù)試驗,并與矢量化方法、監(jiān)督分類方法進(jìn)行對比,分析該方法在實際葉片測量中的穩(wěn)定性和計算效率�！窘Y(jié)果】利用基于面向?qū)ο髨D像特征提取的植物葉面積測量方法,在進(jìn)行標(biāo)準(zhǔn)幾何圖形的面積測量時,該方法的相對誤差皆小于1.86%;與矢量化方法、監(jiān)督分類方法相比,該方法在測量真實植物葉片面積時具有更高的穩(wěn)定性,而且耗時都小于20s,用時最短;該方法采用IDL模塊設(shè)計,可實現(xiàn)葉片面積的自動批量處理。【結(jié)論】基于面向?qū)ο筇卣魈崛〉闹参锶~片面積測量方法,是葉片面積高精度及批量自動化測量的一種新途徑。
[Abstract]:[objective] to propose a method for measuring plant leaf area based on object oriented image feature extraction, which provides support for rapid and high precision measurement of leaf area of plants collected in the field. [methods] based on scanning images, Based on the idea of feature extraction of object oriented image of remote sensing image, the vector contour of scanned object is obtained, and the area of scanning object is calculated. Seven polygons drawn by AutoCAD are used for repeated experiments to verify the accuracy of the method. Then the leaves of Artemisia carvifolia, Artemisia hediniiae and Medicago sativa)3 species were tested and compared with the vectorization method and the supervised classification method. The stability and computational efficiency of this method in actual blade measurement are analyzed. [results] using the method of plant leaf area measurement based on object oriented image feature extraction, when carrying out the area measurement of standard geometric figure, The relative error of this method is less than 1.86. Compared with vectorization method and supervised classification method, this method is more stable in measuring the leaf area of real plants, and it takes less than 20 s, and the time is the shortest. This method is designed by IDL module. The automatic batch processing of leaf area can be realized. [conclusion] the method of plant leaf area measurement based on object oriented feature extraction is a new way to measure leaf area with high precision and batch automation.
【作者單位】： 西北農(nóng)林科技大學(xué)資源環(huán)境學(xué)院;西北農(nóng)林科技大學(xué)水土保持研究所;浙江省水利水電勘測設(shè)計院;中國科學(xué)院教育部水土保持與生態(tài)環(huán)境研究中心;
【基金】：國家自然科學(xué)基金項目(41271297)
【分類號】：Q948;TP391.41
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