Antonio Novelli
Orcid: 0000-0002-5671-9220
According to our database1,
Antonio Novelli
authored at least 14 papers
between 2015 and 2018.
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Bibliography
2018
Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain).
Remote. Sens., 2018
Single-Frequency Kinematic Performance Comparison between Galileo, GPS, and GLONASS Satellite Positioning Systems Using an MMS-Generated Trajectory as a Reference: Preliminary Results.
ISPRS Int. J. Geo Inf., 2018
Static and Kinematic Surveys Using GNSS Multi-constellation Receivers and GPS, GLONASS and Galileo Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
2017
AssesSeg - A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery.
Remote. Sens., 2017
Improving georeferencing accuracy of Very High Resolution satellite imagery using freely available ancillary data at global coverage.
Int. J. Digit. Earth, 2017
A New Threshold Relative Radiometric Correction Algorithm (TRRCA) of Multiband Satellite Data.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017
Optimizing Multiresolution Segmentation for Extracting Plastic Greenhouses from WorldView-3 Imagery.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017
The Use of Geomorphological Descriptors and Landsat-8 Spectral Indices Data for Flood Areas Evaluation: A Case Study of Lato River Basin.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
C_AssesSeg Concurrent Computing Version of AssesSeg: A Benchmark Between the New and Previous Version.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
2016
Object-Based Greenhouse Mapping Using Very High Resolution Satellite Data and Landsat 8 Time Series.
Remote. Sens., 2016
Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain).
Int. J. Appl. Earth Obs. Geoinformation, 2016
Improving the ANN Classification Accuracy of Landsat Data Through Spectral Indices and Linear Transformations (PCA and TCT) Aimed at LU/LC Monitoring of a River Basin.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016
2015
Comparing the MLC and JavaNNS Approaches in Classifying Multi-Temporal LANDSAT Satellite Imagery over an Ephemeral River Area.
Int. J. Agric. Environ. Inf. Syst., 2015