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A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery
Q Yan, Y Ding, JJ Zhang, Y ** fractional land use and land cover in a monsoon region: The effects of data processing options
Existing global land use/land cover (LULC) raster maps have limited spatial and thematic
resolution relative to the strong heterogeneity of agricultural landscapes. One promising …
resolution relative to the strong heterogeneity of agricultural landscapes. One promising …
A Spectral-Unmixing Approach to Estimate Water–Mass Concentrations in Case 2 Waters
D Burazerović, R Heylen, D Raymaekers… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
In this work, we study the estimation of water-quality parameters from the water-leaving
reflectance by means of spectral unmixing. Our starting point is the provision of an analytic …
reflectance by means of spectral unmixing. Our starting point is the provision of an analytic …
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification
Mixed spectral responses from different ground materials often create confusions in complex
remote sensing scenes and restrict classification performance. In this regard, unmixing …
remote sensing scenes and restrict classification performance. In this regard, unmixing …
Nuevas técnicas de clasificación de imágenes hiperespectrales
I García Dópido - 2014 - dehesa.unex.es
The main contribution of this thesis is de development and implementation of new
techniques for hyperspectral analysis which are able to incorporate the spatial component of …
techniques for hyperspectral analysis which are able to incorporate the spatial component of …