Due to the relatively low temporal resolutions of high spatial resolution (HR) remotely
sensed images, land-cover change detection (LCCD) may have to use multi-temporal …

Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing
applications. SR is a technique that enhances minute details of the image by increasing …

Spatio-temporal data fusion refers to the technique of combining high temporal resolution
from coarse satellite images and high spatial resolution from fine satellite images. However …

Abstract Internet of Things (IoT) healthcare is one of the most popular areas of research due
to the rapid development in information and communication technologies. IoT system …

Although developments in remote sensing have greatly improved land cover mapping, the
mixed pixel problem has not yet been fully addressed. Soft classification techniques have …

The development of remote sensing has enabled the acquisition of information on land-
cover change at different spatial scales. However, a tradeoff between spatial and temporal …

Asthma outcomes remain suboptimal, despite effective pharmacotherapy. Psychological
dysfunction (such as anxiety) is common, and associated with poorer outcomes. We …

Subpixel mapping (SPM) is a technique to predict spatial locations of land cover classes
within mixed pixels in remotely sensed imagery. The two-step approach first estimates …

The Malaysian shoreline is dynamic and constantly changing in location. Although the
shoreline may be mapped accurately from fine spatial resolution imagery, this is an …

Land-cover proportions of mixed pixels can be predicted using soft classification. From the
land-cover proportions, a hard land-cover map can be predicted at sub-pixel spatial …