Idioma:

Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets

Palsson, Frosti ; Sveinsson, Johannes R. ; Ulfarsson, Magnus Orn ; Benediktsson, Jon Atli

IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2652-2663 [Periódico revisado por pares]

New York: IEEE

Texto completo disponível

Citações Citado por

Enviar para

Título:
Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets
Autor: Palsson, Frosti ; Sveinsson, Johannes R. ; Ulfarsson, Magnus Orn ; Benediktsson, Jon Atli
Assuntos: Computer simulation ; Economic models ; Estimates ; Hyperspectral sensors ; Image fusion ; Loading ; maximum a posteriori probability (MAP) ; Noise ; Personal computers ; Principal component analysis ; principal component analysis (PCA) ; Reduction ; Redundancy ; Remote sensing ; Spatial resolution ; Spectra ; Wavelet transforms ; wavelets
É parte de: IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2652-2663
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: In remote sensing, due to cost and complexity issues, multispectral (MS) and hyperspectral (HS) sensors have significantly lower spatial resolution than panchromatic (PAN) images. Recently, the problem of fusing coregistered MS and HS images has gained some attention. In this paper, we propose a novel method for fusion of MS/HS and PAN images and of MS and HS images. MS and, more so, HS images contain spectral redundancy, which makes the dimensionality reduction of the data via principal component (PC) analysis very effective. The fusion is performed in the lower dimensional PC subspace; thus, we only need to estimate the first few PCs, instead of every spectral reflectance band, and without compromising the spectral and spatial quality. The benefits of the approach are substantially lower computational requirements and very high tolerance to noise in the observed data. Examples are presented using WorldView 2 data and a simulated data set based on a real HS image, with and without added noise.
Editor: New York: IEEE
Idioma: Inglês

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets

Palsson, Frosti ; Sveinsson, Johannes R. ; Ulfarsson, Magnus Orn ; Benediktsson, Jon Atli

New York: IEEE

Buscando em bases de dados remotas. Favor aguardar.