Hyperspectral remote sensing has been used in many fields, such as agriculture, military detection and mineral exploration. Hyperspectral image (HSI), despite its high spectral resolution, has lower spatial resolution than panchromatic image (PI). Therefore, it is useful yet still challenging to effectively fuse HSI and PI to obtain images with both high spectral resolution and high spatial res...

Recent research has shown that using spectral–spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI data is typically presented in the format of 3D cubes. Thus, 3D spatial filtering naturally offers a simple and effective method for simultaneously extracting the spectral–spatial features within such images. In this paper, a 3D convolutiona...

Human Systems Integration (HSI) is the collection of interdisciplinary technical and management processes for integrating human considerations within and across all system elements. This discipline seeks to treat humans as equally important to system design as are other system elements, such as hardware and software. HSI has been defined by many stakeholders, particularly government agencies th...

As a new machine learning approach, the extreme learning machine (ELM) has received much attention due to its good performance. However, when directly applied to hyperspectral image (HSI) classification, the recognition rate is low. This is because ELM does not use spatial information, which is very important for HSI classification. In view of this, this paper proposes a new framework for the s...

INTRODUCTION High quality sputum helps increase the sensitivity of the diagnosis of pulmonary tuberculosis. OBJECTIVES To evaluate the efficiency of the acoustic device (Lung Flute; LF) in sputum induction compared with the conventional method, hypertonic saline inhalation (HSI). METHODS In this crossover study, patients with presumed pulmonary tuberculosis submitted 3 consecutive sputa: th...

Classification of hyperspectral image (HSI) is an important research topic in the remote sensing community. Significant efforts (e.g., deep learning) have been concentrated on this task. However, it is still an open issue to classify the high-dimensional HSI with a limited number of training samples. In this paper, we propose a semi-supervised HSI classification method inspired by the generativ...

This paper addresses the problem of contextual hyperspectral image (HSI) classification. A novel conditional random fields (CRFs) model, known as higher order support vector random fields (HSVRFs), is proposed for HSI classification. By incorporating higher order potentials into a support vector random fields with a Mahalanobis distance boundary constraint (SVRFMC) model, the HSVRFs model not o...

We study the lead±lag relationships among the spot, futures, and options markets on Hong KongÕs Hang Seng Index (HSI). The young options market experiences thin trading, and the option returns lag the cash index returns. The more mature futures market experiences active trading. Yet its lead over the cash index appears to be less than the counterparts in other countries. A possible reason is th...

Indonesia is country with abundant high-risk areas for various disasters that can affect both the structural and non-structural safety of vital establishments, particularly hospitals. This present study aims to examine level hospital index in nine hospitals four provinces based on guidelines from WHO/PAHO (World Health Organization/Pan American Organization). The Hospital Safety Index (HSI) con...