基于遥感图像纹理分割方法的研究。
We have studied the methods of image texture segmentation systematically.
这是一种全新的遥感图像目标识别方法。
This is a new kind of image target recognition method of remote sensing.
研究了面向对象高分辨遥感图像分类技术。
Study the object-oriented classification technology of high resolution remote sensing image.
遥感图像插值对解决这些问题起到很好的作用。
Remote sensing image interpolation will be beneficial to solving those problems.
实地小组开展所有实地活动，国家专家还负责解译遥感图像。
Field teams carry out all fieldwork, and national experts interpret remote sensing imagery.
图像分类是高光谱遥感图像分析与应用的重要手段。
Classification is an important means for analysis and application of hyperspectral images.
本文提出了一种遥感图像旋转不变纹理分类的新方法。
This paper puts forward a new method of invariant texture classification for remote sensing image.
在遥感图像的处理中，图像分类起到特征提取的作用。
In remote sensing image processing, image classification plays the role of feature's extraction.
最大似然法分是常规遥感图像最常用、最有效的分类方法。
Maximum likelihood classifier (MLC) is the most used and effective classification method.
对遥感图像的应用，目标位置的确定是一件非常重要的事情。
How to determine location of target is very important in the application of remote sensing imagery.
遥感图像记录了地物在空间域、时间域、光谱域的变化信息。
RS-images record geophysical changing information in space area?time area and spectrum area.
首先采用自适应波段选择方法对高光谱遥感图像进行谱间压缩。
At first, adopt the Adaptive Band Selection to compress spectrum dependence of hyperspectral remote sensing image.
精确检测图像边缘特征是进行高分辨率遥感图像分割和识别的关键。
Phase Congruency was introduced as a new method to detect features from high-resolution remotely sensed imagery.
针对遥感图像的特点，提出了一种遥感图像中机场跑道的提取方法。
Aiming at the remote sensing images, a method of extracting airfield runway in remote sensing images is proposed.
针对遥感图像融合问题，提出了一种基于残差的遥感图像融合新方法。
For the problem of remote sensing image fusion, we propose a new scheme based on residual error in this paper.
在一定条件下，遥感图像上可以观测到舰船的尾迹或自然界的内波现象。
In some condition the wake of ship or the natural interwave can be observed in remote sensing imagery.
本文采用多层前馈神经网络对遥感图像进行压缩，给出了具体的压缩算法。
This paper compresses remote sensing images with multilayer feedforward neural network and gives the compression algorithm in detail.
实验结果表明，该算法可高效地完成大范围、高分辨率遥感图像纹理的映射。
The experimental result indicated this algorithm can complete the wide range, the high resolution remote sensing image texture mapping highly effectively.
遥感图像的自动识别是遥感、计算机视觉和模式识别等领域面临的重大挑战。
Automatic recognition of remote sensing image is a great challenge in the field such as remote sensing, computer vision, pattern recognition and so on.
如何应用图像压缩技术实现遥感图像的高效存储和传输具有重要的现实意义。
How to store and transfer remote sensing images effectively with image compression technology is of grate practical significance.
纹理是遥感图像的重要信息和基本特征，在遥感图像的自动识别中具有重要意义。
As important information and basic character, texture has significant meaning in image recognition of remote sensing.
遥感图像目标自动识别技术是计算机模式识别与图像处理领域非常活跃的研究课题。
The technology of object automatic recognition on remote-sensing image is a very active research field in pattern recognition and image processing these years.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images Retrieval.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
A hierarchical object detection method based on vision saliency was proposed for automatic remote sensing image interpretation.
由于遥感图像一般带有较大的噪声，通过实验表明，用传统的边缘检测方法效果不理想。
Experiments indicate that the traditional methods of edge detection are not ideal because of the bigger noise of remote sense image.
本文将模糊集理论应用于遥感图像的分类中，研究了模糊集理论在遥感图像分类中的应用。
In this paper, fuzzy sets theory was applied in classification of remote sensing image, classification of remote sensing image was researched.
本文将模糊集理论应用于遥感图像的分类中，研究了模糊集理论在遥感图像分类中的应用。
In this paper, fuzzy sets theory was applied in classification of remote sensing image, classification of remote sensing image was researched.
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