Results 31 to 40 of about 204,035 (336)

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu   +6 more
doaj   +1 more source

Fusion of Various Band Selection Methods for Hyperspectral Imagery

open access: yesRemote Sensing, 2019
This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang   +3 more
doaj   +1 more source

Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging [PDF]

open access: yes, 2013
This paper presents several strategies for spectral de-noising of hyperspectral images and hypercube reconstruction from a limited number of tomographic measurements.
Aeron, Shuchin   +2 more
core   +1 more source

Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In the classic sparse representation (SR)-based models and their improved versions with the spatial consistency, such as joint representation (JR)-based frameworks, the sparse coefficient is generally considered with the dictionary together for ...
Haoyang Yu   +4 more
doaj   +1 more source

Endmember Estimation with Maximum Distance Analysis

open access: yesRemote Sensing, 2021
Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao   +5 more
doaj   +1 more source

Hyperspectral Python: HypPy

open access: yesAlgorithms
This paper describes the design, implementation, and usage of a Python package called Hyperspectral Python (HypPy). Proprietary software for processing hyperspectral images is expensive, and tools developed using these packages cannot be freely distributed.
Wim Bakker   +5 more
openaire   +3 more sources

CMOS compatible metamaterial absorbers for hyperspectral medium wave infrared imaging and sensing applications [PDF]

open access: yes, 2018
We experimentally demonstrate a CMOS compatible medium wave infrared metal-insulator-metal (MIM) metamaterial absorber structure where for a single dielectric spacer thickness at least 93% absorption is attained for 10 separate bands centred at 3.08, 3 ...
Cumming, David S.   +4 more
core   +1 more source

En-Decoded Index Guided Edge Refinement Network for Change Detection of Remote Sensing Image

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Change detection (CD) aims to analyze pairs of remote sensing images (RSIs) that are captured at different times to identify valuable information regarding changes in land features, which plays a crucial role in the fields of urban planning ...
Chunyan Yu   +4 more
doaj   +1 more source

Characterizing and controlling infrared phonon anomaly of bilayer graphene in optical-electrical force nanoscopy

open access: yesLight: Science & Applications, 2023
We, for the first time, report the nanoscopic imaging study of anomalous infrared (IR) phonon enhancement of bilayer graphene, originated from the charge imbalance between the top and bottom layers, resulting in the enhancement of E1u mode of bilayer ...
Junghoon Jahng   +8 more
doaj   +1 more source

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

open access: yes, 2019
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral imagery, CD technology has been greatly promoted, as hyperspectral data ...
Du, Qian   +9 more
core   +1 more source

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