Salt stress is one of the most significant abiotic stresses that substantially negatively impact plant growth and productivity. However, a slew research thus far has investigated ameliorating properties arbuscular mycorrhizal (AM) symbiosis their potential to improve tolerance salt stress. The present study aimed evaluate compare role inocula obtained from Sabkha (S-AMF) non-Sabkha (NS-AMF) hab...

abstract according to the adventages of passive radars they have been reconsidered recently due to development of signal processing technology. in the field of sea targets detection using passive radar few research have been reported. this paper presents a new method to detect sea targets using adaptive filter weights variation model and using the fact that the radar cross section of sea target...

This paper offers improvements to adaptive matched filter (AMF) performance by addressing correlation and non-homogeneity problems inherent to hyperspectral imagery (HSI). The estimation of themeanvector and covariancematrix of the background should be calculated using “target-free” data. This statement reflects the difficulty that including target data in estimatesof themeanvectorandcovariance...

Model-based image denoising methods are well suited for use as processors in remote sensing systems such satellites due to their well-developed mathematical theory and low computational cost, but these can often only deal with a single type of random noise. In this paper, based on the model-based techniques, mixed noise algorithm using Gaussian curvature surface shearlet transform is proposed. ...

In this paper, we propose a class of median-based matrix information geometry (MIG) detectors with manifold filter and apply them to signal detection in nonhomogeneous environments. As customary, the sample data is assumed be modeled as Hermitian positive-definite (HPD) matrices, geometric median set HPD matrices interpreted an estimate clutter covariance (CCM). Then, problem can reformulated d...

Traditional detection approaches for the dim moving target are addressed under the background of homogeneous sea clutter. However, the realistic clutter commonly appears inhomogeneous, resulting in the low detectability. A heterogeneous multiple-scan detection framework is described in this paper, which combines the inhomogeneous coherent integration in the dwell of single scan and the non-cohe...

In this work, we present the Adaptive Multi-Selection Framework (called AMF). AMF is an API built for helping designers to develop optimized combinations of multiple algorithms solving the same problem in function of the physical architecture and algorithm behavior. AMF offers a simple and generic model for developing automatic combination of algorithms. In this model, the user needs to specify...

This paper proposes the median-type filters with an impulse noise detector using the decision tree and the particle swarm optimization, for the recovery of the corrupted gray-level images by impulse noises. It first utilizes an impulse noise detector to determine whether a pixel is corrupted or not. If yes, the filtering component in this method is triggered to filter it. Otherwise, the pixel i...

In this paper, firstly we introduce an automatic welding defect inspection system for X-ray image evaluation, then, a novel image segmentation approach is proposed. In this approach, we first apply an adaptive morphological filter (AMF) with an appropriate structuring element to remove noise and most of the background image which is useless for defect identification. Secondly, edges were derive...