In this paper, a novel multi-task learning (MTL) framework for a series of Gabor features via joint probabilistic outputs of support vector machines (SVM), abbreviated as GF-MTJSVM, has been proposed for Hyperspectral image (HSI) classification. Specifically, we firstly use a series of Gabor wavelet filters with different scales and frequencies to extract spectral-spatial-combined features from...

objective: this study was conducted to evaluate the effects of different proportions of marshmallow extract (althaea officinalis l.) on growth performance and carcass composition of common carp (cyprinus carpio). methods: common carp with an average weight of 37.65 ± 4.40 g were fed for two months with a diet supplemented with marshmallow (a. officinalis) extract 0.25%, 0.50 and 1%, and with no...

Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications, especially in disease diagnosis and image-guided surgery. HSI acquires a three-dimensional dataset called hypercube, with two spatial dimensions and one spectral dimension. Spatially resolved spectral imaging obtained by HSI provides diagnostic information about the tissue physiology, morphology, and compositi...

Introduction: Hospitals around the world need to be safe and prepared face disasters, being these man-made or caused by natural hazards. The Hospital Safety Index (HSI) is a tool developed World Health Organization (WHO) that allows access level of preparedness hospitals; it most widely used instrument its kind. Although HSI frequently hospitals healthcare facilities world, scientific literatur...

Knowledge of habitat requirements of aquatic animals plays an important role in fisheries and protection programs of aquatic ecosystems. Hence, this study was conducted to investigate the suitability indexes of habitat use and habitat suitability index (HSI) of Barbus cyri in its distribution range in Tootkabon River. A number of environmental variables, including elevation, water depth, river ...

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Many stock prediction studies focus on using macroeconomic indicators, such as CPI and GDP, to train the prediction model. However, daily data of the macroeconomic indicators are almost impossible to obtain....

We present a new and effective approach for Hyperspectral Image (HSI) classification and clutter detection, overcoming a few long-standing challenges presented by HSI data characteristics. Residing in a high-dimensional spectral attribute space, HSI data samples are known to be strongly correlated in their spectral signatures, exhibit nonlinear structure due to several physical laws, and contai...

The separation of pure polyolefins, polyethylene (PE) and polypropylene (PP), from post-consumer plastic waste is of increasing interest in the last years according to market requirements for their further recycling. In this paper new analytical inspection strategies, based on HyperSpectral Imaging (HSI) in the VIS-NIR and NIR fields (400-1000 and 1000-1700 nm, respectively), have been investig...

With EO-1 Hyperion and MightySat in orbit NASA and the DoD are showing their continued commitment to hyperspectral imaging (HSI). As HSI sensor technology continues to mature, the ever-increasing amounts of sensor data generated will result in a need for more cost effective communication and data handling systems. Lockheed Martin, with considerable experience in spacecraft design and developing...