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搜索结果: 1-15 共查到工学 Polarimetric SAR相关记录29条 . 查询时间(0.046 秒)
Polarimetric Synthetic Aperture RadarPOLSARimaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
Coastal zones are one of the world’s most densely populated areas and it is necessary to propose an accurate, cost effective, frequent, and synoptic method of monitoring these complex ecosystems. Howe...
In this study, synthetic aperture radar (SAR) data from TerraSAR-X were compared with RADARSAT-2 data to evaluate their effectiveness for river ice monitoring on the Peace River. For several years RAD...
Accurate and timely change detection of Earth’s surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Many traditional methods ...
Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based ...
Due to the increasing volume of available SAR Data, powerful classification processings are needed to interpret the images. GMM (Gaussian Mixture Model) is widely used to model distributions. In most ...
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
In the last decades it often has been shown that Multilayer Perceptrons (MLPs) are powerful function approximators. They were successfully applied to a lot of different classification problems. Howev...
Aiming at overcoming the disadvantages of the algorithm proposed by White, R. G. (RGW) and making it applicable for PolSAR data classification, a novel edge-detection algorithm based on segmentation f...
Image segmentation has the general goal to define regions within an image, in which all pixels have similiar properties. For fully-polarimetric SAR data this is often done by spectral classification w...
Oil spill surveillance is of great environmental and economical interest, directly contributing to improve environmental protection. Monitoring of oil spills using synthetic aperture radar (SAR) has r...
Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth’s surfaces and phenomena for various remote sensing applications, such as land cover mapping, change a...
Polarimetric classification is one of the most significant applications of polarimetric radar in remote sensing. During the last decade, several research tasks revealed the contribution of polarimetri...
French Polynesia islands are located at the middle of the South Pacific Ocean. They are thus subject to a strong environmental planning leading to landscape changes as well as to the introductio...
We used multi-sensor, multi-frequency and multi-polarization SAR data for biophysical parameter retrieval in plantation forests of Northern Japan. The statistical relationships with different biophys...

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