Fusion of United Sparse Principal Component Analysis Dictionary Based on Linear Unmixing Image Technique
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2867006
Abstract: Based on the linear unmixing images of different surface objects, online dictionary learning algorithm was utilized to compute the sparse dictionaries for multispectral linear unmixing images and panchromatic images. Principal component analysis (PCA) was then… read more here.
Keywords: fusion; united sparse; image; linear unmixing ... See more keywords
An Overview on Linear Unmixing of Hyperspectral Data
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/3735403
Abstract: Hyperspectral remote sensing technology has a strong capability for ground object detection due to the low spatial resolution of hyperspectral imaging spectrometers. A single pixel that leads to a hyperspectral remote sensing image usually contains… read more here.
Keywords: linear unmixing; overview linear; hyperspectral data; unmixing hyperspectral ... See more keywords
Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform
Sign Up to like & getrecommendations! Published in 2018 at "Advanced Structural and Chemical Imaging"
DOI: 10.1186/s40679-018-0055-8
Abstract: Many spectral responses in materials science, physics, and chemistry experiments can be characterized as resulting from the superposition of a number of more basic individual spectra. In this context, unmixing is defined as the problem… read more here.
Keywords: wide platform; linear unmixing; framework; matrix factorization ... See more keywords