| 1. | Mix pixel of remote sensing distinguishment by hue compound probability arithmatic
遥感影像混合象元的色调合成概率判别算法研究 |
| 2. | Multi - angle thermal infrared remote sensing ; mixed pixel ; inversion of component temperature
未热红外多角度遥感混合像元组分温度反演 |
| 3. | The multi - angle thermal infrared remote sensing and retrieval of component temperatures of mixed pixel
热红外多角度遥感和反演混合像元组分温度 |
| 4. | Besides , many classification errors are caused by mixed pixels and speckle noise of the sar image
另外,许多分类错误是由sar图像的像素点类别混淆和相干斑噪声干扰引起的。 |
| 5. | As to the mix pixels , we construct a bp neural network which the nodes of input layer are the bands of remote sensing and the nodes of output layer are percent of several kinds of object
另外还构造了一个用于混合像素分类的神经网络，输出层节点为各典型地物类别所占的百分比。 |
| 6. | One is weighted ; another is not weighted . experimental results show that it can obtain better classification , as well as the recognition results of mix pixel are improved at some degree
实验结果表明，采用加权的融合方法，可以取得更好的分类效果，对混合像元的识别也有一定的改善。 |
| 7. | It can be showed from this research , image fusion and mixed pixel interpretation can both be used in extracting the small - region vegetation information of the city and can acquire satisfactory accuracy
研究证明，无论是对tm图像和spot图像进行融合分类还是对tm图像进行混合像元分解，均可较为准确地提取植被覆盖率。 |
| 8. | In this study , two methods were used to estimate the urban vegetation coverage from remote sensing data : automatic classification of merged tm images and spot images ; interpretation of mixed pixels of tm images
并对ikonos影像在图像增强的基础上采用系统抽样和目视勾绘植被信息的方法取得研究区的植被覆盖率数据，作为评价融合分类和分解效果的依据。 |
| 9. | 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 。 |
| 10. | 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。 |
