Add to ORKGNeural network architectures for information extraction from hyper-spectral images Geoinformation Ph.D Thesi
n this paper the potential of neural networks has been applied to hyperspectral data and exploited e...
Hyperspectral image classification is a powerful technique to gain knowledge about rec-orded objects...
We investigate the use of artificial neural networks in classifying hyperspectral data. Such data wh...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX183349 / BLDSC - British Library D...
The Earth remote sensing is becoming a new and quickly developing multiscience area of a practical i...
Summary. Neural networks represent a widely used alternative to deal with remotely sensed image data...
A Hyperspectral is the imaging technique that contains very large dimension data with the hundreds o...
Abstract: During the last decade the deep convolutional neural networks (DСNN) were succes...
The segmentation of high-resolution (HR) remote sensing images is very important in modern society, ...
Classification of hyperspectral imagery with neural networks: comparison to conventional tool
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN046297 / BLDSC - British Library D...
The paper introduces how multi-class and single-class problems of searching and classifying target o...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX188234 / BLDSC - British Library D...
A Hyperspectral is the imaging technique that contains very large dimension data with the hundreds o...
Villmann T, Merényi E, Hammer B. Neural maps in remote sensing image analysis. Neural Networks. 2003...
n this paper the potential of neural networks has been applied to hyperspectral data and exploited e...
Hyperspectral image classification is a powerful technique to gain knowledge about rec-orded objects...
We investigate the use of artificial neural networks in classifying hyperspectral data. Such data wh...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX183349 / BLDSC - British Library D...
The Earth remote sensing is becoming a new and quickly developing multiscience area of a practical i...
Summary. Neural networks represent a widely used alternative to deal with remotely sensed image data...
A Hyperspectral is the imaging technique that contains very large dimension data with the hundreds o...
Abstract: During the last decade the deep convolutional neural networks (DСNN) were succes...
The segmentation of high-resolution (HR) remote sensing images is very important in modern society, ...
Classification of hyperspectral imagery with neural networks: comparison to conventional tool
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN046297 / BLDSC - British Library D...
The paper introduces how multi-class and single-class problems of searching and classifying target o...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX188234 / BLDSC - British Library D...
A Hyperspectral is the imaging technique that contains very large dimension data with the hundreds o...
Villmann T, Merényi E, Hammer B. Neural maps in remote sensing image analysis. Neural Networks. 2003...
n this paper the potential of neural networks has been applied to hyperspectral data and exploited e...
Hyperspectral image classification is a powerful technique to gain knowledge about rec-orded objects...
We investigate the use of artificial neural networks in classifying hyperspectral data. Such data wh...