Principles and methods of scaling geospatial Earth science data
The properties of geographical phenomena vary with changes in the scale of measurement.
The information observed at one scale often cannot be directly used as information at …
The information observed at one scale often cannot be directly used as information at …
Hyperspectral super-resolution of locally low rank images from complementary multisource data
Remote sensing hyperspectral images (HSIs) are quite often low rank, in the sense that the
data belong to a low dimensional subspace/manifold. This has been recently exploited for …
data belong to a low dimensional subspace/manifold. This has been recently exploited for …
Deep convolutional neural network framework for subpixel mapping
Subpixel mapping (SPM) is an effective way to solve the mixed pixel problem, which is a
ubiquitous phenomenon in remotely sensed imagery, by characterizing subpixel distribution …
ubiquitous phenomenon in remotely sensed imagery, by characterizing subpixel distribution …
An adaptive subpixel mapping method based on MAP model and class determination strategy for hyperspectral remote sensing imagery
The subpixel mapping technique can specify the spatial distribution of different categories at
the subpixel scale by converting the abundance map into a higher resolution image, based …
the subpixel scale by converting the abundance map into a higher resolution image, based …
Hyperspectral imagery super-resolution by spatial–spectral joint nonlocal similarity
Hyperspectral (HS) super-resolution reconstruction is an ill-posed inversion problem, for
which the solution from reconstruction constraint is not unique. To address this, an HS image …
which the solution from reconstruction constraint is not unique. To address this, an HS image …
Sub-pixel mapping based on a MAP model with multiple shifted hyperspectral imagery
Sub-pixel mapping is technique used to obtain the spatial distribution of different classes at
the sub-pixel scale by transforming fraction images to a classification map with a higher …
the sub-pixel scale by transforming fraction images to a classification map with a higher …
Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services
GM Foody - Ecological Economics, 2015 - Elsevier
Valuations of ecosystem services often use data on land cover class areal extent. Area
estimates from land cover maps may be biased by misclassification error resulting in flawed …
estimates from land cover maps may be biased by misclassification error resulting in flawed …
Example-based super-resolution land cover mapping using support vector regression
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 …
cover map from coarse fractional images by predicting the spatial locations of different land …
Fast subpixel mapping algorithms for subpixel resolution change detection
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 …
detection (CD) at a fine spatial and fine temporal resolution. However, remote sensing …
A Super-resolution algorithm based on hybrid network for multi-channel remote sensing images
Z Li, W Zhang, J Pan, R Sun, L Sha - Remote Sensing, 2023 - mdpi.com
In recent years, the development of super-resolution (SR) algorithms based on convolutional
neural networks has become an important topic in enhancing the resolution of multi-channel …
neural networks has become an important topic in enhancing the resolution of multi-channel …