Results 21 to 30 of about 153,077 (360)
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 In this article the author reviews José Bioucas-Dias' key contributions to hyperspectral unmixing (HU), in memory of him as an influential scholar and for his many beautiful ideas introduced to the hyperspectral community. Our story will start with vertex component analysis (VCA) -- one of the most celebrated HU algorithms, with more than 2,000 Google ...
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Analysis of Remotely Sensed Images Through Social Media
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 During the past decades, the volume of big data available in remote sensing (RS) applications has grown significantly. In addition, a number of applications related to monitoring human activity are being developed based on this kind of data.
Alejandro Redondo +5 more
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Monitoring the Spatiotemporal Distribution of Invasive Aquatic Plants in the Guadiana River, Spain
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Monitoring the spatiotemporal distribution of invasive aquatic plants is a challenge in many regions worldwide. One of the most invasive species on Earth is the water hyacinth.
Elena C. Rodriguez-Garlito +2 more
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THE DETECTION OF CONCEALED TARGETS IN WOODLAND AREAS USING HYPERSPECTRAL IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature ...
S. A. Rodriguez Gonzalez +6 more
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Deep Learning for Hyperspectral Image Classification: An Overview [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2019 Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate classification of such data challenging for traditional machine learning ...
Shutao Li +5 more
semanticscholar +1 more source
Quality criteria benchmark for hyperspectral imagery [PDF]
, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel +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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Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I. +7 more
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Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”
Remote Sensing, 2022 Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data.
Chein-I Chang +8 more
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Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Moussaoui, Saïd +10 more
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