A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 2: Recommendations and best practices
Convolutional neural network (CNN)-based deep learning (DL) has a wide variety of
applications in the geospatial and remote sensing (RS) sciences, and consequently has …
applications in the geospatial and remote sensing (RS) sciences, and consequently has …
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
An assessment of the effectiveness of a random forest classifier for land-cover classification
VF Rodriguez-Galiano, B Ghimire, J Rogan… - ISPRS journal of …, 2012 - Elsevier
Land cover monitoring using remotely sensed data requires robust classification methods
which allow for the accurate map** of complex land cover and land use categories …
which allow for the accurate map** of complex land cover and land use categories …
Hyperspectral remote sensing data analysis and future challenges
JM Bioucas-Dias, A Plaza… - … and remote sensing …, 2013 - ieeexplore.ieee.org
Hyperspectral remote sensing technology has advanced significantly in the past two
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification
GM Foody - Remote sensing of environment, 2020 - Elsevier
The kappa coefficient is not an index of accuracy, indeed it is not an index of overall
agreement but one of agreement beyond chance. Chance agreement is, however, irrelevant …
agreement but one of agreement beyond chance. Chance agreement is, however, irrelevant …
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
RG Pontius Jr, M Millones - International journal of remote sensing, 2011 - Taylor & Francis
The family of Kappa indices of agreement claim to compare a map's observed classification
accuracy relative to the expected accuracy of baseline maps that can have two types of …
accuracy relative to the expected accuracy of baseline maps that can have two types of …
Advances in spectral-spatial classification of hyperspectral images
Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …
this paper. Several techniques are investigated for combining both spatial and spectral …
Key issues in rigorous accuracy assessment of land cover products
SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover map** have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT …
Pixel-based and object-based image analysis approaches for classifying broad land cover
classes over agricultural landscapes are compared using three supervised machine …
classes over agricultural landscapes are compared using three supervised machine …