classificationairborne SARIn recent years, the application of radar polarimetry for remote sensing of land cover types has attracted extensive interest. Numerous microwave scattering models have been developed and used to interpret the polarimetric SAR data. In this paper, existing L-band backscatter ...
This article constitutes the second part of a study which demonstrates that the representation of a target by a set of individual scattering-centres is a promising method for applications where high resolution is needed (high-resolution imaging, classification, NCTR). In the first paper [1], we...
Table 1. Classification of high-resolution remote sensing data fusion reconstruction methods. NoReconstructed dimensionMethod categoryAlgorithm principleRepresentative methods 1 Time Time-dimension image reconstruction Uses a series of multi-temporal remote sensing image data to simulate spectral information at ...
to detect collapsed buildings with high accuracy. The proposed method were tested using synthetic aperture radar data, and Lidar-based digital surface model (DSM). Thus, satellite remote sensing provides an initial estimation for constructing damage maps in wide areas; however, the details of the d...
Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The growing research on ACPs as therapeutic agent is increasing due to its minimal side effects. However, identifying novel ACPs using wet-lab experiments are generally
The effect of speckle filtering on scattering characteristics, such as entropy, anisotropy, and alpha angle, will be discussed. 展开 关键词: backscatter entropy feature extraction geophysical signal processing geophysical techniques image classification radar imaging radar polarimetry remote sensing by radar ...
AAM Al-Saffar,T Hai,MA Talab - International Conference on Radar 被引量: 8发表: 2017年 Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images. Histopathological examination is today's gold standard for cancer diagnosis. However, this task is time...
The motivation of the present work is to provide an auxiliary tool for the decision-maker (DM) faced with predictive model uncertainty. The tool is especia... A Saltelli,S Tarantola,K Chad - 《Risk Analysis》 被引量: 15发表: 2010年 Model-based feature classification and change detection De...
[28,29].Figure 4shows the result of processing the native data measured during the experiment. During the processing, we did not apply the energy-based classification of the detections. The detections of the scintillation detector were treated similarly to the GM tube detector, that is to say,...
Classification of radar returns from the ionosphere using neural networks. Johns Hopkins APL Tech. Dig. 1989, 10, 262–266. [Google Scholar] Aeberhard, S.; Coomans, D.; De Vel, O. Comparison of Classifiers in High Dimensional Settings; Technical Report 92-02; Department of Computer Science ...