Remote sensing--Data processing
Accelerating Remote Sensing Data Analysis Workflows by On demand Processing
... “on-demand processing” in both service computing and remote sensing data ...mass data processing service by “provide right service for user according to his requirement” in a SOA ...
6
Grid Enabled Environment for Image Processing Applications: A Review
... image processing system for extracting relevant environmental and meteorological parameters on a Grid system is presented in ...oriented remote sensing data processing grid is ...
7
Data Processing System for Remote Sensing Satellites in Private Cloud Environment
... Image processing of data acquired from Earth observation ...datasets, remote sensing data processing needs to be equipped with an improved ...traditional data centres for ...
8
A cloud-based remote sensing data production system
... The data processing capability of existing remote sensing system has not kept pace with the amount of data typically received and need to be ...of remote sensing ...
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Conceptual low-cost on-board high performance computing in CubeSat nanosatellites for pattern recognition in Earth's remote sensing
... of processing power in the dedicated graphic unit, which is an unprecedented computing power in micro and ...post processing signal data values and ...in remote sensing implemented in ...
9
Geospatial analysis using remote sensing and gis; a case study in and around rayachoty, kadapa district, Andhra pradesh, India
... Indian Remote Sensing Satellite (IRS) data, image processing and Geographical Information System techniques were used to identify the land use categories such as built-up lands, cultivated ...
6
Land Use/ Land Cover Analysis Using Remote Sensing and Gis, a Case Study on Pulivendula Taluk, Kadapa District, Andhra Pradesh, India
... geocoded data of 1:50,000 scale. The Indian Remote Sensing Satellite (IRS) data was visually and digitally interpreted by using the image interpretation elements (such as tone, texture, shape, ...
5
Hyperspectral Remote Sensing For Agricultural Management: A Survey
... sensed data, especially hyperspectral data, the classification and mapping of vegetation can be accomplished with in a more cost-effective manner with more detail in less time ...hyperspectral data ...
6
Enhanced Urban Sprawl Monitoring over the Entire District of Rome through Joint Analysis of ALOS AVNIR 2 and SENTINEL 2A Data
... doing remote sensing for land use ...free data record ...available data with a minimum spatial resolution of 10 m, 13 spectral bands, wide acquisition coverage and short time revisits, which ...
12
Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation
... operational remote sensing algorithm pro- cessing chain to produce a variety of remote sensing products that would normally be produced from actual sensor ...verification, remote ...
14
Preparation of Safe Site Zonation Map of Karul Ghat by using RS and GIS
... study remote sensing and field data has been used to prepare safe site zone of study ...area. Remote sensing data is further used to delineate drainage pattern, photo lineaments, ...
5
Land Use Land Cover Mapping Of Hirehalli Village In Karnataka Using RS and GIS Technique For The Year 2012 and 2018
... input data for the LU/LC Mapping of Hirehalli gram Panchayath is the CARTOSAT-1 and LISS-IV data provided by NRSC (National Remote Sensing Centre) to ...
5
Change detection in rice area using remote sensing data
... expectations. Remote Sensing (RS) can be simply defined as the science which identifies characteristics of objects can without direct contact (Kansu ...of remote sensing system is ...
5
A Review of Machine Learning for Hyperspectral Image Applications
... Image processing is an important area which derives its roots from remote ...sensing. Remote sensing is defined as means of gathering information such that no physical contact is ...on ...
6
Simulation and survey method for remote sensing data
... Satellite remote sensing and mapping technology is used to obtain stellar surface remote sensing image data and three-dimensional topographic ...sampling data, the obtained ...
9
Land Resource Investigation Using Remote Sensing And Geographic Information System: A Case Study
... RS data due to its perspective view, multi-spectral, multi-resolution and frequent monitoring capabilities make its well-suited for inventory of land use/land cover pattern and their dynamics over any large ...
8
Rapidly Processing Mechanism for Remote Sensing Image Based on EMD Model
... rapid processing mechanism for Remote Sensing(RS) ...parallel processing flow of RS images and their basic spatial relations, four kinds of computing modes are established to improve the ...
5
Remote sensing big data computing: challenges and opportunities
... RS data processing on a Beowulf cluster with 16 comput- ers ...of data capacity, throughput, and availabil- ity by virtue of the software fault tolerance, data backup and op- timized system ...
14
Big Data Analytical Architecture for Remote Sensing Application
... the remote sensing ...First, Remote sensing data accession unit (RSDU) takes the information from the satellite and transfers to the earth Station, wherever processing starts in ...
7
Urban sprawl: The GIS and remote sensing data assessments
... of remote sensing provide a powerful tool for studying urban issues, like land use/cover change, urban growth modelling, urban sprawl ...etc. Remote sensing image classification is one of ...
11