Results 21 to 30 of about 28,301 (266)
Hyperspectral imagery superresolution [PDF]
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 Despite their high spectral resolution, hyperspectral images have low spatial resolution which adversely affects the applications that use hyperspectral images. In this study, instead of the traditional way of using spectral images, abundances of the endmembers are used in resolution enhancement.
Hasan Irmak +2 more
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Compressed hyperspectral sensing [PDF]
SPIE Proceedings, 2015 Acquisition of high dimensional Hyperspectral Imaging (HSI) data using limited dimensionality imaging sensors has led to restricted capabilities designs that hinder the proliferation of HSI. To overcome this limitation, novel HSI architectures strive to minimize the strict requirements of HSI by introducing computation into the acquisition process.
Grigorios Tsagkatakis +1 more
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The Future of Hyperspectral Imaging [PDF]
Journal of Imaging, 2019 The Special Issue on hyperspectral imaging (HSI), entitled “The Future of Hyperspectral Imaging”, has published 12 papers. Nine papers are related to specific current research and three more are review contributions: In both cases, the request is to propose those methods or instruments so as to show the future trends of HSI.
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Band redundancy and limitation of labeled samples restrict the development of hyperspectral image classification (HSIC) greatly. To address the earlier issues, the classification models such as subspace-based support vector machines, which have gained a ...
Jiaochan Hu +5 more
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Hyperspectral Imaging for Bloodstain Identification [PDF]
Sensors, 2021 Blood is key evidence to reconstruct crime scenes in forensic sciences. Blood identification can help to confirm a suspect, and for that reason, several chemical methods are used to reconstruct the crime scene however, these methods can affect subsequent DNA analysis. Therefore, this study presents a non-destructive method for bloodstain identification
Maheen Zulfiqar +4 more
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Band Subset Selection for Hyperspectral Image Classification
Remote Sensing, 2018 This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Chunyan Yu, Meiping Song, Chein-I Chang
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A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification
Remote Sensing, 2020 The storage and processing of remotely sensed hyperspectral images (HSIs) is facing important challenges due to the computational requirements involved in the analysis of these images, characterized by continuous and narrow spectral channels.
Mercedes E. Paoletti +4 more
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Hyperspectral Inverse Skinning
Computer Graphics Forum, 2020 AbstractIn example‐based inverse linear blend skinning (LBS), a collection of poses (e.g. animation frames) are given, and the goal is finding skinning weights and transformation matrices that closely reproduce the input. These poses may come from physical simulation, direct mesh editing, motion capture or another deformation rig.
Songrun Liu +3 more
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Fusion of Various Band Selection Methods for Hyperspectral Imagery
Remote 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
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IEEE 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
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