Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …

Classification of remotely sensed images with very high spatial resolution is investigated.
The proposed method deals with the joint use of the spatial and the spectral information …

Markov models represent a wide and general family of stochastic models for the temporal
and spatial dependence properties associated to 1-D and multidimensional random …

Ant colony optimization (ACO) is an optimization algorithm inspired by the natural behavior
of ant species that ants deposit pheromone on the ground for foraging. In this paper, ACO is …

In this study, we propose an automatic detection algorithm for cloud/shadow on remote
sensing optical images. It is based on physical properties of clouds and shadows, namely for …

This article presents an algorithm for the automatic detection of circular shapes from
complicated and noisy images without using the conventional Hough transform methods …

This paper presents a new spectral-spatial classification method for hyperspectral images
via morphological component analysis-based image separation rationale in sparse …

This paper presents a novel clustering and pattern classification of power signal
disturbances using a variant of S-transform, which is termed as a phase corrected wavelet …

It is found that the multistage decision algorithm for image segmentation with active contour
model (ACM) is similar to ant colony optimization (ACO). By means of constructing solution …

The inquiry process of traditional medical equipment maintenance management is complex,
which has a negative impact on the efficiency and accuracy of medical equipment …