本文選題：遙感影像 + 景觀(guān)格局�。� 參考：《中國(guó)科學(xué)院大學(xué)(中國(guó)科學(xué)院東北地理與農(nóng)業(yè)生態(tài)研究所)》2017年碩士論文

【摘要】：隨著多光譜傳感器的廣泛運(yùn)用,利用地物光譜響應(yīng)特征提取地表信息的技術(shù)日益成熟。但由于地表狀況的復(fù)雜性和光譜響應(yīng)的局限性,傳統(tǒng)的光譜分析法在指示平均尺寸、空間分布等格局信息方面存在缺陷。已有研究發(fā)現(xiàn)變異函數(shù)參數(shù)與地表空間結(jié)構(gòu)參數(shù)存在一定的對(duì)應(yīng)關(guān)系,但由于當(dāng)前變異參數(shù)和場(chǎng)景參數(shù)關(guān)系的研究大都基于真實(shí)影像,不具備完整性和系列性。對(duì)變異函數(shù)探測(cè)性能缺乏全面分析,使得目前變異函數(shù)探測(cè)遙感影像樹(shù)冠尺寸的效果仍然存在疑問(wèn)。本文基于一系列不同尺寸分布和空間分布的一維和二維模擬影像,計(jì)算其變異函數(shù)值并提取變程。通過(guò)分析變異函數(shù)變程與模擬地物尺寸之間的關(guān)系,探究影響變程探測(cè)地物尺寸效果的因素,以及不同空間結(jié)構(gòu)條件下變程探測(cè)地物大小準(zhǔn)確性。最后結(jié)合法國(guó)南部地中海沿岸和西班牙中部的真實(shí)影像對(duì)模擬影像得出的研究結(jié)論進(jìn)行驗(yàn)證。研究結(jié)果表明:⑴當(dāng)森林樹(shù)冠直徑小于樹(shù)冠之間平均距離一半時(shí),且樹(shù)冠尺寸變動(dòng)方差較小時(shí),利用變異函數(shù)變程參量可以有效探測(cè)出遙感影像中森林樹(shù)冠尺寸;⑵當(dāng)森林樹(shù)冠直徑大于樹(shù)冠之間平均距離一半時(shí),變異函數(shù)變程參量基本不隨樹(shù)冠尺寸增大而變化;⑶當(dāng)森林樹(shù)冠尺寸方差較大且樹(shù)冠直徑小于樹(shù)冠之間平均距離一半時(shí),變異函數(shù)曲線(xiàn)的拐點(diǎn)探測(cè)出的樹(shù)冠尺寸要小于其真實(shí)值,而峰值變程探測(cè)出的樹(shù)冠尺寸要大于其真實(shí)值,并且這種偏差隨著樹(shù)冠尺寸方差的增大而增加。
[Abstract]:With the wide application of multispectral sensors, the technology of extracting surface information by using spectral response features of ground objects is becoming more and more mature. However, due to the complexity of the surface condition and the limitation of spectral response, the traditional spectral analysis method has defects in indicating the average size, spatial distribution and other pattern information. It has been found that there is a certain correspondence between the parameters of variation function and the parameters of surface spatial structure. However, most of the researches on the relationship between variation parameters and scene parameters are based on real images, so they do not have integrity and series. Due to the lack of comprehensive analysis on the detection performance of variogram, the effect of variogram in detecting the crown size of remote sensing images is still in doubt. Based on a series of one-dimensional and two-dimensional simulated images with different size distribution and spatial distribution, the variogram value is calculated and the variable range is extracted. By analyzing the relationship between variogram variation and simulated object size, the factors that affect the effect of variable-range detection and the accuracy of variable-range detection under different spatial structure are explored. Finally, real images of the Mediterranean coast of southern France and central Spain are used to verify the results of the simulated images. The results show that when the diameter of forest crown is less than half of the average distance between tree crown and the variance of crown size variation is small, the variation parameter of variation function can effectively detect the forest crown size in remote sensing image. 2When the diameter of forest tree crown is larger than half of the average distance between tree crown, the variable parameter of variation function basically does not change with the increase of crown size. 3 when the diameter of forest tree crown is less than half of the average distance between tree crown, the variance of tree crown size is larger than that of tree crown. The crown size detected at the inflection point of the variogram curve is smaller than its true value, while the crown size detected by the peak variation is larger than its true value, and the deviation increases with the increase of the crown size variance.
【學(xué)位授予單位】：中國(guó)科學(xué)院大學(xué)(中國(guó)科學(xué)院東北地理與農(nóng)業(yè)生態(tài)研究所)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：P237

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