Assessment on the Potential of Multispectral and Hyperspectral Datasets for Land Use/Land Cover Classification (original) (raw)
Investigations on the Potential of Hyperspectral and SENTINEL-2 Data for Land-Cover / land-Use Classification
Martin Weinmann
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
View PDFchevron_right
Advances in Land Use classification of Urban Areas from Hyperspectral Data
International Research Group - IJET JOURNAL
View PDFchevron_right
The use of hyperspectral Earth observation data for land use/cover classification: present status, challenges and future outlook
George P. Petropoulos
View PDFchevron_right
Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping
Frank Canters
ISPRS Journal of Photogrammetry and Remote Sensing, 2014
View PDFchevron_right
Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data
Zhe Zhu
Remote Sensing of Environment, 2012
View PDFchevron_right
Evaluation of Algorithms for Land Cover Analysis using Hyperspectral Data
Milap Punia, Norman Kerle
View PDFchevron_right
Urban land-cover mapping with hyperspectral data by means of data reduction techniques and machine learning classifiers
Frank Canters
2014
View PDFchevron_right
Investigation of the potential of hyperspectral EnMAP data for land cover and land use classification
Andreas Christian Braun
View PDFchevron_right
Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance
komal choudhary
Computer Optics, 2018
View PDFchevron_right
A Comparative Study of Advanced Land Use/Land Cover Classification Algorithms Using SENTINEL-2 Data
Minakshi Kumar
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
View PDFchevron_right
Classification of hyperspectral data for land cover mapping: is there any significant improvement?
mazlan hashim
2003
View PDFchevron_right
Land cover classification and build spectral library from hyperspectral and multi-spectral satellite data: A data comparison study in Samara, Russia
rukmini banda
2018
View PDFchevron_right
Development of Spectral Indexes in Hyperspectral Imagery for Land Cover Assessment
Divyesh Varade
IETE Technical Review, 2018
View PDFchevron_right
Evaluation of land cover classification based on multispectral versus pansharpened landsat ETM+ imagery
Lwin Ko Ko
GIScience & Remote Sensing, 2013
View PDFchevron_right
Comparative Study of Supervised Classification of Urban Area Hyperspectral Satellite Imagery
Osama Mosa
View PDFchevron_right
Potential of Landsat-8 and Sentinel-2A composite for land use land cover analysis
Divyesh Varade
Geocarto International, 2018
View PDFchevron_right
Automatic Classification of Major Urban Land Covers Based on Novel Spectral Indices
ILME FARIDATUL
ISPRS International Journal of Geo-Information
View PDFchevron_right
Comparison Between Spectral, Spatial and Polarimetric Classification of Urban and Periurban Landcover Using Temporal Sentinel – 1 Images
Koel Roychowdhury
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
View PDFchevron_right
Very High Resolution Land Cover Extraction in Urban Areas: Very High Resolution Urban Land Cover Extraction Using Airborne Hyperspectral Images
Nicolas Paparoditis
View PDFchevron_right
A Knowledge-based approach to urban land use classification using AVIRIS imagery and LiDAR data
Prabhashini Mohapatra
View PDFchevron_right
Pixel-Based Classification Analysis of Land Use Land Cover Using SENTINEL-2 and LANDSAT-8 Data
Aycan Murat MARANGOZ
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
View PDFchevron_right
The Effect of Four New Multispectral Bands of WORLDVIEW2 on Improving Urban Land Cover Classification
Bahram Salehi
2012
View PDFchevron_right
Remote Sensing Classification of Urban Area Using Multispectral Indices for Urban Planning
Philip Lynch
Remote Sensing: Special Issue "Remote Sensing-Based Urban Planning Indicators", 2020
View PDFchevron_right
Assessment of Classification Accuracies of SENTINEL-2 and LANDSAT-8 Data for Land Cover / Use Mapping
Elif SERTEL
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
View PDFchevron_right
Machine Learning; land use/ land cover mapping; hyperspectral imagery; Pixxel; LULC
George P. Petropoulos
View PDFchevron_right
Comparison between Parametric and Non-Parametric Supervised Land Cover Classifications of Sentinel-2 MSI and Landsat-8 OLI Data
Rodolfo Console
Geographies
View PDFchevron_right
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
PANKAJ SINGHA
Remote Sensing
View PDFchevron_right
Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery
Chariton Kalaitzidis, George P. Petropoulos
Computers & Geosciences, 2012
View PDFchevron_right
Relative performance evaluation of machine learning algorithms for land use classification using multispectral moderate resolution data
Tulika Mondal
SN Applied Sciences , 2023
View PDFchevron_right
Automated identification of land cover type using multispectral satellite images
Igor Hut
Energy and Buildings, 2016
View PDFchevron_right
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques
Toyin Adekanmbi
Remote Sensing, 2022
View PDFchevron_right
A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover
Jochem Verrelst
Remote Sensing, 2014
View PDFchevron_right