Results 21 to 30 of about 4,767,349 (290)
Development of Land Cover Classification Model Using AI Based FusionNet Network
Remote Sensing, 2020 Prompt updates of land cover maps are important, as spatial information of land cover is widely used in many areas. However, current manual digitizing methods are time consuming and labor intensive, hindering rapid updates of land cover maps.
Jinseok Park +4 more
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A two-layer Conditional Random Field model for simultaneous classification of land cover and land use [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due to the fact that land cover and ...
L. Albert, F. Rottensteiner, C. Heipke
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Remote Sensing, 2020 Hyperspectral (HS) data have found a wide range of applications in recent years. Researchers observed that more spectral information helps land cover classification performance in many cases.
Chiman Kwan +5 more
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Texture classification of Mediterranean land cover
International Journal of Applied Earth Observation and Geoinformation, 2007 Maximum likelihood (ML) and artificial neural network (ANN) classifiers were applied to three Landsat Thematic Mapper (TM) image sub-scenes (termed urban, agricultural and semi-natural) of Cukurova, Turkey. Inputs to the classifications comprised (i) spectral data and (ii) spectral data in combination with texture measures derived on a per-pixel basis.
Süha Berberoglu +3 more
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PLoS ONE, 2012 Land cover data represent a fundamental data source for various types of scientific research. The classification of land cover based on satellite data is a challenging task, and an efficient classification method is needed.
Dong Jiang +5 more
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A Possibility-Based Method for Urban Land Cover Classification Using Airborne Lidar Data
Remote Sensing, 2022 Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurement tool in forest volume estimation, urban scene reconstruction and land cover classification, where LiDAR data provide crucial and efficient features ...
Danjing Zhao +3 more
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A Multiscale Random Forest Kernel for Land Cover Classification [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Random forest (RF) is a popular ensemble learning method that is widely used for the analysis of remote sensing images. RF also has connections with the kernel-based method. Its tree-based structure can generate an RF kernel (RFK) that provides an alternative to common kernels such as radial basis function (RBF) in kernel-based methods such as support ...
Azar Zafari +2 more
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Super-Resolution Land Cover Pattern Prediction Using a Hopfield Neural Network [PDF]
, 2002 Landscape pattern represents a key variable in management and understanding of the environment, as well as driving many environmental models. Remote sensing can be used to provide information on the spatial pattern of land cover features, but analysis ...
Tatem, A.J. +7 more
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Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
Remote Sensing, 2019 Land cover classification data have a very important practical application value, and long time series land cover classification datasets are of great significance studying environmental changes, urban changes, land resource surveys, hydrology and ...
Haoyu Wang +4 more
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DETERMINATION OF LAND COVER/LAND USE USING SPOT 7 DATA WITH SUPERVISED CLASSIFICATION METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Land use/ land cover (LULC) classification is a key research field in remote sensing. With recent developments of high-spatial-resolution sensors, Earth-observation technology offers a viable solution for land use/land cover identification and management
F. Bektas Balcik, A. Karakacan Kuzucu
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