Deep neural network (DNN)-based synthetic aperture radar (SAR) automatic target
recognition (ATR) systems have been shown to be highly vulnerable to adversarial …

Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …

Tree identification is one of the areas that are regarded by researchers. It is done by human
expert with high cost. Experts believe that tree bark has a high relation with species in …

Texture recognition is a challenging visual task since its multiple primitives or attributes can
be perceived from the texture image under different spatial contexts. Existing approaches …

An essential aspect of texture analysis is the extraction of features that describe the
distribution of values in local, spatial regions. We present a localized histogram layer for …

It has been demonstrated that deep neural network (DNN)-based synthetic aperture radar
(SAR) automatic target recognition (ATR) techniques are extremely susceptible to …

Abstract Research on Content-Based Image Retrieval is being done to improvise existing
methods. Most of the techniques that were proposed use color and texture features …

Texture recognition is an important task in computer vision and, as most problems in the
area nowadays, has benefited from the use of deep convolutional neural networks …

Monitoring salt marshes with remote sensing is necessary to evaluate their state and
restoration. Determining appropriate techniques for this can be overwhelming. Our study …

Binary pattern family is considered as a powerful tool for visual texture classification. Most
popular methods improve the classification performance by multi-feature fusion. However …