Scalable semi-supervised classification of hyperspectral remote sensing data with spectral and spatial information

2011 ◽  
Author(s):  
Mingmin Chi ◽  
Jun Liu ◽  
Jiangfeng Bao ◽  
Jon Atli Benediktsson
Keyword(s):  
Remote Sensing ◽  
Supervised Classification ◽  
Spatial Information ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Sensing Data

Classification of high resolution hyperspectral remote sensing data using deep neural networks

2018 ◽  
Vol 34 (4) ◽  
pp. 2273-2285 ◽  
Author(s):  
Mehmet Emin Yuksel ◽  
Nurcan Sarikaya Basturk ◽  
Hasan Badem ◽  
Abdullah Caliskan ◽  
Alper Basturk
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
High Resolution ◽  
Deep Neural Networks ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Sensing Data

scholarly journals COMPUTING COMPONENTS OF CLOUD WEB-SERVICES FOR REMOTE SENSING DATA PROCESSING

2021 ◽  
Vol 4 (1) ◽  
pp. 66-71
Author(s):  
Aleksey A. Buchnev ◽  
Valery P. Pyatkin ◽  
Evgeny V. Rusin
Keyword(s):  
Remote Sensing ◽  
Web Services ◽  
Data Processing ◽  
Supervised Classification ◽  
Remote Sensing Data ◽  
Natural Environments ◽  
Interactive Communication ◽  
Sensing Data ◽  
Movement Tracking

The organization of computations in cloud Web services for satellite data processing is considered. Computing component of almost every service is a batch version of the corresponding technology of the PlanetaMonitoring software for processing remote sensing data. The exceptions are the technologies that require interactive communication with user, i.e., supervised classification of remote sensing data and movement tracking of natural environments by the coordinates of identifiable objects, each of which consists of two parts, i.e., an interactive Windows application running on the user's computer and the part hidden in the cloud.

Sign in / Sign up

Export Citation Format

Share Document