10.1007/978-3-642-35725-1_13Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)7732 LNCSPART 1141-15
Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery p...
Hyperspectral imaging enables accurate classification, but also presents challenges of high-dimensio...
Existing remote sensing images of ground objects are difficult to annotate, and building a hyperspec...
Contains fulltext : 194144.pdf (publisher's version ) (Open Access
Classification of hyperspectral data is a challenging problem because of large dimensionality of dat...
The technological evolution of optical sensors over the last few decades has provided remote sensing...
Hyperspectral Imaging – Collects visual information that are invisible to the human eyes (more ba...
Spectral–spatial classification of hyperspectral images is reviewed in this paper. Spatial feature e...
Abstract: Remote sensing involves collection and interpretation of information about an object, area...
The technological evolution of optical sensors over the last few decades has provided remote sensing...
In recent years, the spatial texture features obtained by filtering have become a hot research topic...
2015-2016 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Hyperspectral Imaging is a method of collecting and processing the information across pre-defined el...
Supervised classification is commonly used to produce a thematic map from hyperspectral data. A clas...
L'imagerie hyperspectrale, grâce à un nombre élevé de bandes spectrales très fines et contigües, est...
Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery p...
Hyperspectral imaging enables accurate classification, but also presents challenges of high-dimensio...
Existing remote sensing images of ground objects are difficult to annotate, and building a hyperspec...
Contains fulltext : 194144.pdf (publisher's version ) (Open Access
Classification of hyperspectral data is a challenging problem because of large dimensionality of dat...
The technological evolution of optical sensors over the last few decades has provided remote sensing...
Hyperspectral Imaging – Collects visual information that are invisible to the human eyes (more ba...
Spectral–spatial classification of hyperspectral images is reviewed in this paper. Spatial feature e...
Abstract: Remote sensing involves collection and interpretation of information about an object, area...
The technological evolution of optical sensors over the last few decades has provided remote sensing...
In recent years, the spatial texture features obtained by filtering have become a hot research topic...
2015-2016 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Hyperspectral Imaging is a method of collecting and processing the information across pre-defined el...
Supervised classification is commonly used to produce a thematic map from hyperspectral data. A clas...
L'imagerie hyperspectrale, grâce à un nombre élevé de bandes spectrales très fines et contigües, est...
Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery p...
Hyperspectral imaging enables accurate classification, but also presents challenges of high-dimensio...
Existing remote sensing images of ground objects are difficult to annotate, and building a hyperspec...
DOI
Add to ORKG