With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …

Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …

Abstract Objectives To investigate Haralick texture analysis of prostate MRI for cancer
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …

The challenging task of automatic seismic fault detection recently gained in quality with the
emergence of deep learning techniques. Those methods successfully take advantage of a …

Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …

This paper presents a preliminary study for mapping sea ice patterns (texture) with 100-m
ERS-1 synthetic aperture radar (SAR) imagery. The authors used gray-level co-occurrence …

Crop classification provides essential information for ensuring global food security, allowing
early crop monitoring practices and water irrigation management. Despite of high …

New Earth observation missions and technologies are delivering large amounts of data.
Processing this data requires developing and evaluating novel dimensionality reduction …

This paper deals with the problem of recognizing and segmenting textures in images. For
this purpose the authors employ a technique based on the fractal dimension (FD) and the …