Amanote Research

Amanote Research

    RegisterSign In

Analysis, Thematic Maps and Data Mining From Point Cloud to Ontology for Software Development

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
doi 10.5194/isprs-archives-xli-b5-347-2016
Full Text
Open PDF
Abstract

Available in full text

Date

June 15, 2016

Authors
R. NespecaL. De Luca
Publisher

Copernicus GmbH


Related search

Web Software to Create Thematic Maps for Precision Agriculture

Pesquisa Agropecuaria Brasileira
Animal ScienceZoologyAgronomyCrop Science
2020English

Multispectral Image Maps From Landsat Thematic Mapper Data.

1991English

The Data Mining OPtimization Ontology

SSRN Electronic Journal
2015English

Scalar Field Analysis Over Point Cloud Data

Discrete and Computational Geometry
CombinatoricsMathematicsGeometryDiscrete MathematicsComputational TheoryTopologyTheoretical Computer Science
2011English

Ontology Development for Software Tracking Information System

International Journal of Research in Engineering and Technology
2016English

Ontology Based Data Mining Methodology for Discrimination Prevention

2014English

Development of Attribute-Assign-Editor for Road Surface Point Cloud Data

International Journal of Engineering and Technology
2016English

Big Data Mining Analysis Method Based on Cloud Computing

2017English

Analysis of Data Collected From Software Development Case Studies

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
1995English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy