Mixed pixels are widely existent in remote-sensing imagery. Although the proportion
occupied by each class in mixed pixels can be determined by spectral unmixing, the spatial …

Sparse representation has been widely used in the field of remote sensing image super-
resolution (SR) to restore a high-quality image from a low-resolution (LR) image, eg, from …

Introduction Substantial resources are required to provide lifelong postoperative care to
people with cochlear implants. Most patients visit the clinic annually. We introduced a …

Floodplain inundation plays a key role in riparian ecosystems. Remote sensing provides an
advanced technology for detecting floodplain inundation, but the trade-off between the …

Superresolution mapping (SRM) is a widely used technique to address the mixed pixel
problem in pixel-based classification. Advanced object-based classification will face a …

Super-resolution mapping (SRM) is a technique to produce a land cover map with finer
spatial resolution by using fractional proportion images as input. A two-step SRM approach …

Classification is one of the most widely used remote sensing analysis techniques, with the
maximum likelihood classification (MLC) method being a major tool for classifying pixels …

Sub-pixel mapping of remotely sensed imagery is often performed by assuming that land
cover is spatially dependent both within and between image pixels. Intra-and inter-pixel …

Super-resolution mapping (SRM) is a recently developed research task in the field of
remotely sensed information processing. It provides the ability to obtain land-cover maps at …

Within the next 30 years, the proportion of urban dwellers will rise from under half to two
thirds of the world's population. Such a shift will entail massive public health consequences …