Physical Sciences Inc. (PSI) is developing a longwave infrared (LWIR) compressive sensing hyperspectral imager (CS HSI) based on a single pixel architecture for standoff vapor phase plume detection. The sensor employs novel use of a high throughput stationary interferometer and a digital micromirror device (DMD) converted for LWIR operation in place of the traditional cooled LWIR focal plane ar...

BACKGROUND Population-based diagnosis- and condition-specific health-related quality of life (HRQoL) scores are required for decision-making and research purposes. These HRQoL scores do not exist for hospital-based long-term care (LTC) residents. OBJECTIVE To estimate the impact of 60 diseases and 15 conditions on caregiver-assessed preference-based HRQoL. METHODS Residents in hospital-base...

Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of ...

This paper outlines the design and implementation of Grid-HSI, a Service Oriented Architecturebased Grid application to enable hyperspectral imaging analysis. Grid-HSI provides users with a transparent interface to access computational resources and perform remotely hyperspectral imaging analysis through a set of Grid services. Keyword: Grid computing, portal grid, remote sensing, image process...

BACKGROUND Rehabilitation progression and return-to-play (RTP) decision making following hamstring strain injury (HSI) can be challenging for clinicians, owing to the competing demands of reducing both convalescence and the risk of re-injury. Despite an increased focus on the RTP process following HSI, little attention has been paid to rehabilitation progression and RTP criteria, and subsequent...

As the Canadian Institutes of Health Research (CIHR) leads in designing and implementing the new Health System Impact (HSI) Fellowship program, we congratulate Sim et al for their thoughtful contribution to the nascent literature on embedded research, and for advancing our own learning about the HSI Fellowship experience. In our commentary, we describe the HSI Fellowship and its key components,...

Hyperspectral imaging (HSI) electro-optical sensors, with their hundreds of contiguous spectral bands, are a rich data source useful in a variety of applications. Numerous examples have demonstrated their potential. Understanding the characteristics of HSI data is important not only for algorithm design and assessment, but also for accurate modeling in a performance prediction context. Initial ...

In order to improve contrast and restore color for underwater image captured by camera sensors without suffering from insufficient details and color cast, a fusion algorithm for image enhancement in different color spaces based on contrast limited adaptive histogram equalization (CLAHE) is proposed in this article. The original color image is first converted from RGB color space to two differen...

Image segmentation is an important technique in remote sensing hyperspectral image (HSI) processing and application field. It not only can lay a foundation for subsequent object detection, positioning and recognition, but also play an assistant role on HSI data compression and transmission. Level Set which is an effective tool in dealing with image segmentation, has been developed and drawn mor...