Cloud implementation of logistic regression for hyperspectral image ...

Key words: Hyperspectral imaging, multinomial logistic regression, cloud computing,. Apache Spark. c CMMSE. ISBN: 978-84-617-8694-7. Page 1030 of 2288 ...

Cloud Implementation of Multinomial Logistic Regression for UAV ...

Hyperspectral imaging (HSI) is a hot topic within the remote sensing field due to the great amount of spectral information acquired over a ...

Cloud Implementation of Multinomial Logistic Regression for UAV ...

Hyperspectral imaging (HSI) is a hot topic within remote sensing field due to the great amount of spectral information acquired over a wide range of the ...

Cloud Implementation of Multinomial Logistic Regression for UAV ...

Paoletti, Member, IEEE,. Abstract—Hyperspectral imaging (HSI) is a hot topic within remote sensing field due to the great amount of spectral information.

Cloud Implementation of Multinomial Logistic Regression for UAV ...

(DOI: 10.1109/JMASS.2020.3019669) Hyperspectral imaging (HSI) is a hot topic within the remote sensing field due to the great amount of spectral information ...

Cloud Implementation of Multinomial Logistic Regression for UAV ...

Hyperspectral imaging (HSI) is a hot topic within the remote sensing field due to the great amount of spectral information acquired over a wide range of the ...

Hyperspectral Image Analysis Using Cloud-Based Support Vector ...

Distributed Multinomial Logistic Regression A distributed approach of the Multinomial Logistic Regression (MLR) is implemented in [41] using ...

Hyperspectral Image Prediction Using Logistic Regression Model

While applying the Logistic Regression (LR) model, feature selection is an important aspect of remote sensing in the classification of hyperspectral (HS) images ...

Onboard Processing of Hyperspectral Imagery: Deep Learning ...

... logistic regression to perform supervised classification on noisy input data. ... Initially, the model was trained using imprecise training ...

A survey: Deep learning for hyperspectral image classification with ...

... hyperspectral image in cloud shadow ... Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression.

Cloud Implementation of a Full Hyperspectral Unmixing ... - UMBC

Index Terms—Earth Observing One (EO-1), hyperion, hyper- spectral imaging, NASA SensorWeb, spectral unmixing, Web Cov- erage Processing Service ...

satellite-image-deep-learning/techniques - GitHub

glacier-detect-ML -> a simple logistic regression model to identify a glacier in Landsat satellite imagery ... Hyperspectral Image Classification Using a ...

A Distributed N-FINDR Cloud Computing-Based Solution for ... - MDPI

Another application that requires an efficient implementation of endmember extraction on large hyperspectral image repositories is content-based ...

Hyperspectral Image Analysis Using Cloud-Based Support Vector ...

Haut JM and Paoletti ME Cloud implementation of multinomial logistic regression for uav hyperspectral images IEEE J n Miniaturiz Air Space Syst.

Collection of a Hyperspectral Atmospheric Cloud Dataset and ...

The rich spectral content of hyperspectral imagery has led to its application ... logistic regression, also known as softmax regression. This model handles ...

Hyperspectral Image Classification via Spatial Shuffle-Based ... - OUCI

Cloud implementation of logistic regression for hyperspectral image classifcation. Proceedings of the 17th International Conference on Computational and ...

Weighted Joint Sparse Representation Hyperspectral ... - Researching

Cloud implementation of multinomial logistic regression for UAV hyperspectral images[J]. IEEE Journal on Miniaturization for Air and Space Systems, 1, 163 ...

[PDF] Scheduling-Guided Automatic Processing of Massive ...

Cloud implementation of logistic regression for hyperspectral image classification · J. HautMercedes Eugenia PaolettiAbel Paz-GallardoJ. PlazaA. Plaza.

Issues in the Identification of Smoke in Hyperspectral Satellite Imagery

Logistic regression has convenient extensions for accommodating spatial associations, for handling multiple levels of smoke abundance, and for including ...

[PDF] Convolution Based Spectral Partitioning Architecture for ...

Cloud implementation of logistic regression for hyperspectral image classification ... image data sets. Expand. 30 Citations · PDF. Add to Library. Alert. 1 ...