| 1. | The techniques shown so far also work as you would expect for field - based join points
到目前为止所展示的技术，处理的都是基于字段的连接点。 |
| 2. | At feature level , this paper focuses on markov random field - based image classification algorithms
在特征层，论文研究了基于markov随机场的图像分类方法。 |
| 3. | Standard test method for determination of beryllium in the workplace using field - based extraction and fluorescence detection
利用现场萃取和荧光检测法测定工作场所铍的标准试验方法 |
| 4. | This unique tie between theoretical academic studies and field - based action research is one of the continuing allures of the program
本系提供将理论学术研究和田野调查研究结合的机会，也是最吸引人的特色之一。 |
| 5. | The algorithm can automatically specify morphing feature . the method modifies field - based image morphing , reduces the complex degree of morphing algorithm and accelerates morphing
改进了基于域的图象变形算法，较大地减小了变形算法的复杂度，提高了算法的运算速度。 |
| 6. | 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 %
提取结果显示，三种分解方法中，基于邻域像元的灰色相关像元分解法充分利用了空间结构信息，其提取植被覆盖率精度最高，达到96 . 7 。 |
| 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
本文详细分析了基于域和基于对象两种空间数据模型集成的各种问题及相应的解决措施，提出了一种面向对象三维gis集成数据模型，并深入讨论了集成模型的体系结构。 |
| 8. | 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
对tm图像采用线性混合像元分解、逻辑斯蒂非线性混合像元分解和灰色相关像元分解等三种方法进行混合像元的分解，以提取植被信息。 |
| 9. | 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
图像数据融合技术和混合像元分解技术是林业遥感中颇具发展潜力的两个领域，有着广阔的应用前景。 |
| 10. | 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
仿真结果表明，本算法与传统的直接空间域变形算法相比，小波变换只分解一层，变形算法的运算速度可提高三倍。 |
