In this paper, a new framework of mixed sparse representations (MSRs) is proposed for
solving ill-conditioned problems with remote sensing images. In general, it is very difficult to …

Glaucoma is the second leading cause of blindness worldwide. As glaucoma progresses,
more optic nerve tissue is lost and the optic cup grows which leads to vision loss. This paper …

Plant pathogens are a prominent cause of reduced yields, resulting in decreased crop
yields. Scientists are striving to develop a mechanism for identifying plant ailments in order …

Recent years, convolutional neural networks (CNNs) have attracted broad attention in
hyperspectral image (HSI) classification. Most CNN-based HSI classification methods use …

Traditional hyperspectral image classification typically uses raw spectral signatures or
simple spatial characteristics such as textural features without considering the correlation …

Even though the recognition of printed characters is considered to be a solved problem in
the field of pattern recognition, similar methodologies produce unexpected results when …

In this paper, we propose a new framework for remote sensing images classification based
on group sparse representations. It is well known that it is very difficult to find a suitable …

In this work, an urban area land cover is proposed to classify the large resolution image. It
aims to extract the features like texture, shape, size and spectral information in the feature …