Sub-pixels are a finer representation derived from a parent pixel. This work introduces a sub-pixel mapping algorithm exploiting spatial dependence. The spatial ...
This paper proposes a new algorithm based on a back-propagation (BP) network combined with an observation model. This method provides an effective method of ...
Direct Sub-Pixel Mapping Exploiting. Spatial Dependence. Koen C. Mertens ... This work introduces a sub-pixel mapping algorithm exploiting spatial dependence.
Direct sub-pixel mapping exploiting spatial dependence | Semantic ...
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This work introduces a sub-pixel mapping algorithm exploiting spatial dependence that is intended to he applied to fraction images of a high spatial ...
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These methods are all designed in an unsupervised framework, directly relying on spatial dependence or spatial correlation between pixels in the LR image.
Super-resolution land cover mapping (SRM) (or sub-pixel mapping) is a technique applied to generate land cover maps with a finer spatial resolution than the ...
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Every pixel is thus divided into a predefined number of sub-pixels, allowing a more spatially detailed representation of the lower resolution pixels. Sub-pixel ...
In this study, we present a fully automatic framework for thermokarst lake mapping using moderate-resolution Sentinel-2 images.
The PSA is based on the assumption of maximum class autocorrelation at the target resolution, or to simply maximize spatial dependence (Matheron Citation1965, ...