Results 21 to 30 of about 835 (219)

An Endmember Bundle Extraction Method Based on Multiscale Sampling to Address Spectral Variability for Hyperspectral Unmixing

open access: yesRemote Sensing, 2021
With the improvement of spatial resolution of hyperspectral remote sensing images, the influence of spectral variability is gradually appearing in hyperspectral unmixing.
Chuanlong Ye   +5 more
doaj   +1 more source

ENDMEMBER EXTRACTION ON THE GRASSMANNIAN [PDF]

open access: yes2018 IEEE Data Science Workshop (DSW), 2018
Endmember extraction plays a prominent role in a variety of data analysis problems as endmembers often correspond to data representing the purest or best representative of some feature. Identifying endmembers then can be useful for further identification and classification tasks. In settings with high-dimensional data, such as hyperspectral imagery, it
Elin Farnell   +3 more
openaire   +2 more sources

ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid ...
H. Xu, B. Tian, F. Liu
doaj   +1 more source

Endmember Bundle Extraction Based on Multiobjective Optimization [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2021
A number of endmember extraction methods have been developed to identify pure pixels in hyperspectral images (HSIs). The majority of them use only one spectrum to represent one kind of material, which ignores the spectral variability problem that particularly characterizes a HSI with high spatial resolution. Only a few algorithms have been developed to
Rong Liu, Xiaoxiang Zhu 0001
openaire   +3 more sources

An Experimental Study on the Effects of Noise on Endmember Extraction Methods

open access: yesCanadian Journal of Remote Sensing, 2022
Endmember extraction is frequently adopted to detect spectrally unique signatures of pure materials in the scene of hyperspectral imagery (HSI). In this paper, we investigate the effects of noise on seven widely used endmember extraction methods.
Guangyi Chen, Adam Krzyzak, Shen-En Qian
doaj   +1 more source

Entropy-Based Convex Set Optimization for Spatial–Spectral Endmember Extraction From Hyperspectral Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Spectral unmixing is an important problem for remotely sensed hyperspectral data exploitation. Automatic spectral unmixing can be viewed as a three-stage problem, where the first stage is subspace identification, the next one is endmember extraction, and
Dharambhai Shah   +3 more
doaj   +1 more source

VALIDATION OF EXTRACTED ENDMEMBERS FROM HYPERSPECTRAL IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
An essential step in the characterization of surface materials using hyperspectral image analysis is image classification using endmembers. Spectral unmixing is the best method for hyperspectral image classification.
A. Sharifi, M. Hosseingholizadeh
doaj   +1 more source

ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Endmember extraction is a process to identify the hidden pure source signals from the mixture. Endmember finding has become increasingly important in hyperspectral data exploitation because endmembers can be used to specify unknown particular spectral ...
H. Jafarzadeh, M. Hasanlou
doaj   +1 more source

The Spatial–Spectral–Environmental Extraction Endmember Algorithm and Application in the MODIS Fractional Snow Cover Retrieval

open access: yesRemote Sensing, 2020
Endmember extraction is a primary and indispensable component of the spectral mixing analysis model applicated to quantitatively retrieve fractional snow cover (FSC) from satellite observation.
Hongyu Zhao   +8 more
doaj   +1 more source

ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L1 SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endmember signatures from the mixture, which is an ...
H. Fang   +6 more
doaj   +1 more source

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