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 ...
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 ...
Presents information on a study which derived a wavelet-based texture feature set which is an essential key to the classification of land cover in syntheti... Fukuda,Seisuke,Hirosawa,... - 《IEEE Transactions on Geoscience & Remote Sensing》 被引量: 207发表: 1999年 Polarimetric sar image segm...
In this article, we propose a distributed federated transfer model based on the Mixture-of-Experts (MoE) technique for personalized image classification. During local training, we design a transfer learning (TL) method based on MoE that constructs relatively customized models according to the ...
Among the different iterative approaches in X-ray CT (see5 for a detailed classification of iterative methods in CT), the so called Model-Based Iterative Reconstruction (MBIR) methods are now getting growing attention. In general, they try to model the acquisition process as accurately as possibl...
Therefore, the first application of this method might not yield the best sorting results. In addition, it is assumed that the clusters are spherical and that the number of clusters into which the data should be classified is known, thus classification is difficult if these assumptions are ...
In 2014, Google Mind applied the Attention mechanism to image classification in Recurrent Convolutional Neural Network (RNN) models [32]. The Attention mechanism generates weight vectors for each input element, determining which parts significantly impact the model output by calculating the weights of ...
The aim of synthetic aperture radar (SAR) classification is to assign each pixel to a class according to a feature of the illuminated area. In this work, a classification method suitable for SAR images is presented through the maximum a posteriori (MAP) criteria by means of the expectation-ma...
The classification threshold to highlight these points varied between sites. Different thresholds were trialled with a number selected (between 0.045 and 0.15) which balanced minimising noise against selecting as many penguins as possible. Rasters were then converted to point shapefiles using the ‘...
because of the scarcity of techniques that are able to fully investigate the fractured rock mass in three dimensions: High-resolution reflection seismic volumes (Sicking and Malin, 2019; Takougang et al., 2019; Ou et al., 2022); ground penetrating radar (GPR) and electrical resistivity tomograp...