Due to the influences of imaging conditions, spectral imagery can be coarse and contain a
large number of mixed pixels. These mixed pixels can lead to inaccuracies in the land-cover …

In this paper, a new sub-pixel mapping (SPM) method based on radial basis function (RBF)
interpolation is proposed for land cover mapping at the sub-pixel scale. The proposed …

The point spread function (PSF) effect is ubiquitous in remote sensing images and imposes
a fundamental uncertainty on subpixel mapping (SPM). The crucial PSF effect has been …

In this paper, a new subpixel resolution land cover change detection (LCCD) method based
on the Hopfield neural network (HNN) is proposed. The new method borrows information …

There is a type of algorithm for subpixel mapping (SPM), namely, the soft-then-hard SPM
(STHSPM) algorithm that first estimates soft attribute values for land cover classes at the …

Sub-pixel mapping techniques predict the spatial distribution of endmember abundances
which are estimated through spectral unmixing. The sub-pixel mapping and spectral …

Remote sensing images contain abundant land cover information. Due to the complex
nature of land cover, however, mixed pixels exist widely in remote sensing images. Sub …

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 …

Super-resolution mapping (SRM) is a promising technique to generate a fine resolution land
cover map from coarse fractional images by predicting the spatial locations of different land …

Due to rapid changes on the Earth's surface, it is important to perform land cover change
detection (CD) at a fine spatial and fine temporal resolution. However, remote sensing …