Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing
satellites contain the necessary information that can be used to investigate various objects of …

Texture, along with color, is one of the most important characteristics of a material defining
its appearance. While color had been studied for a long time and continues being an …

Image forensics has attracted wide attention during the past decade. However, most existing
works aim at detecting a certain operation, which means that their proposed features usually …

Despite the good performance of methods such as wavelet transform, Gabor filter bank, and
scale-invariant feature transform (SIFT) as the first step of image segmentation, they have …

BACKGROUND Diseases such as Alternaria and pests such as leafminer threaten tomato
as one of the most widely used agricultural products. These pests and diseases first damage …

Although remote sensing has long been used to aid in the estimation of population, it has
usually been in the context of spatial disaggregation of national census data, with the …

This study proposed a novel algorithm for coastline detection in single-polarization synthetic
aperture radar (SAR) images based on the local spectral histogram (LSH) and the level set …

Urban settlements and urbanised populations continue to grow rapidly and much of this
transition is occurring in less developed countries. Remote sensing techniques are now …

Over the last few years, convolutional neural networks (CNNs) have been applied to detect
corrosion in images. Unfortunately, the corrosion is detected in bounding boxes, without …

Neural network visualization techniques mark image locations by their relevancy to the
network's classification. Existing methods are effective in highlighting the regions that affect …