Convolutional neural networks (CNNs) have been widely used in SAR image recognition and achieved high accuracy on some public datasets. However, due to the opacity of decision-making mechanism, reliability credibility CNNs are insufficient at present, which hinders their application important fields such as recognition. In recent years, various interpretable network structures proposed discern ...

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Aim: I extend the traditional SAR, which has achieved status of ecological law and plays a critical role in global biodiversity assessment, to the general (alphaor beta-diversity in Hill numbers) diversity area relationship (DAR). The extension was motivated to remedy the limitation of traditional SAR that only address one aspect of biodiversity scaling—species richness scaling over space. Inno...

Processing of SAR images of rugged terrain deserves special care because the topography affects the focused image in a number of ways. In order to obtain geometrically and radiometrically corrected SAR images of mountainous areas additional knowledge about the topography and the sensor’s trajectory and attitude has to be included in the processing or post-processing steps. Various well-known fo...

PURPOSE We evaluated radiofrequency (RF) heating of a humerus implant embedded in a gel phantom during magnetic resonance (MR) imaging for the specific absorption rate (SAR), angle between the implant and static magnetic field (B(0)), and position of the implant in the irradiation coil. METHODS We embedded a stainless steel humerus implant 2 cm deep in tissue-equivalent loop and mass phantoms...

a r t i c l e i n f o In the structure–activity relationship (SAR) study, a learning algorithm is usually faced with the problem of selecting a compact subset of descriptors related to the property of interest, while ignoring the rest. This paper presents a new method of molecular descriptor selection utilizing three commonly used decision tree (DT)-based ensemble methods coupled with a backwar...

Objective: Soil salinity is one of the major worldwide environmental constraints affecting agricultural production in arid and semiarid regions. Lack of proper management of water and soil resources lead to increase soil salinity and reduce soil fertility. On the other hand, it seems simple and cheap method of measuring soil salinity is necessary. The aim of this study was to determine the rela...

A data mining approach is introduced that automatically extracts SAR information from high-throughput screening data sets and that helps to select active compounds for chemical exploration and hit-to-lead projects. SAR pathways are systematically identified consisting of sequences of similar active compounds with gradual increases in potency. Fully enumerated SAR pathway sets are subjected to p...

The species–area relationship (SAR) plays a central role in biodiversity research, and recent work has increased awareness of its temporal analogue, the species– time relationship (STR). Here we provide evidence for a general species–time–area relationship (STAR), in which species number is a function of the area and time span of sampling, as well as their interaction. For eight assemblages, ra...

Up till now, only linearly polarized microwave radiation are employed by the Synthetic Aperture Radar (SAR) systems onboard spaceborne platforms. In general, such linearly polarized SAR (LP-SAR) systems are very sensitive to Faraday rotation in the ionosphere and platform posture, both of which will contribute to system noise superposed on the resulting backscattering signature. So as to improv...