The techniques shown so far also work as you would expect for field - based join points 到目前為止所展示的技術,處理的都是基于字段的連接點。
At feature level , this paper focuses on markov random field - based image classification algorithms 在特征層,論文研究了基于markov隨機場的圖像分類方法。
Standard test method for determination of beryllium in the workplace using field - based extraction and fluorescence detection 利用現場萃取和熒光檢測法測定工作場所鈹的標準試驗方法
This unique tie between theoretical academic studies and field - based action research is one of the continuing allures of the program 本系提供將理論學術研究和田野調查研究結合的機會,也是最吸引人的特色之一。
The algorithm can automatically specify morphing feature . the method modifies field - based image morphing , reduces the complex degree of morphing algorithm and accelerates morphing 改進了基于域的圖象變形算法,較大地減小了變形算法的復雜度,提高了算法的運算速度。
The result showed that , . making full use of the spatial information of the structure , the neighbor - field - based mixed pixel interpretation method made the best effect than the other two methods , it got a accuracy of 96 . 7 % 提取結果顯示,三種分解方法中,基于鄰域像元的灰色相關像元分解法充分利用了空間結構信息,其提取植被覆蓋率精度最高,達到96 . 7 。
We analyze in detail the difficulties in integration of field - based model and object - based model , and propose an object - oriented 3d gis integrated model . we also discuss the architecture of the integrated model 本文詳細分析了基于域和基于對象兩種空間數據模型集成的各種問題及相應的解決措施,提出了一種面向對象三維gis集成數據模型,并深入討論了集成模型的體系結構。
Three methods of interpreting mixed pixels were used to tm images , linear method , logistic nonlinear method and neighbor - field - based mixed pixel interpretation method , to extract the vegetation information , especially the small - region vegetation 對tm圖像采用線性混合像元分解、邏輯斯蒂非線性混合像元分解和灰色相關像元分解等三種方法進行混合像元的分解,以提取植被信息。
To this area being studied , the optimal fusion method was brovey method and the best mixed pixel interpretation method was neighbor - field - based mixed pixel interpretation . the technology of image fusion and mixed pixel interpretation bave wide prospects in forestry remote sensing 圖像數據融合技術和混合像元分解技術是林業(yè)遙感中頗具發(fā)展?jié)摿Φ膬蓚€領域,有著廣闊的應用前景。
Compared with field - based image morphing , we can specify the feature more exactly and the numbers of feature primitive are reduced . from experimental results , the algorithm ' s speed is treble improved generating a smooth morphing image , comparing with field - based image morphing 仿真結果表明,本算法與傳統(tǒng)的直接空間域變形算法相比,小波變換只分解一層,變形算法的運算速度可提高三倍。