Results 21 to 30 of about 643,688 (353)

Hyperspectral Data for Land use/Land cover classification [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Abstract. An attempt has been made to compare the multispectral Resourcesat-2 LISS III and Hyperion image for the selected area at sub class level classes of major land use/ land cover. On-screen interpretation of LISS III (resolution 23.5 m) was compared with Spectral Angle Mapping (SAM) classification of Hyperion (resolution 30m).
Vijayan, D., Ravi Shankar, G., Ravi Shankar, T.   +2 more
openaire   +2 more sources

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, Seongju Jang, Rokgi Hong, Kyo Suh, Inhong Song   +4 more
doaj   +1 more source

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
doaj   +1 more source

Land cover classification using multi-temporal MERIS vegetation indices [PDF]

, 2007
The spectral, spatial, and temporal resolutions of Envisat's Medium Resolution Imaging Spectrometer (MERIS) data are attractive for regional- to global-scale land cover mapping.
A. Mathur, Baret F., Benedetti R., Clark R. N., Clevers J. G. P. W., G. M. Foody, Gaston G. G., Gobron N., Halldorsson G. H., J. Dash, J. W. Chipman, Lillesand T. M., Mather P. M., P. J. Curran, Peterson D. L., Richardson A. L., Smith G. M., Smith P. M., T. M. Lillesand, Wilkinson G. G.   +19 more
core   +1 more source

Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data

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, David Gribben, Bulent Ayhan, Sergio Bernabe, Antonio Plaza, Massimo Selva   +5 more
doaj   +1 more source

Joint Deep Learning for land cover and land use classification [PDF]

Remote Sensing of Environment, 2019
Land cover (LC) and land use (LU) have commonly been classified separately from remotely sensed imagery, without considering the intrinsically hierarchical and nested relationships between them. In this paper, for the first time, a highly novel joint deep learning framework is proposed and demonstrated for LC and LU classification.
Ce Zhang, Isabel Sargent, Xin Pan, Huapeng Li, Andy Gardiner, Jonathon Hare, Peter M. Atkinson   +6 more
openaire   +4 more sources

Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data [PDF]

, 2018
Land cover classification is an essential process in many remote sensing applications. Classification based on supervised methods have been preferred by many due to its practicality, accuracy and objectivity compared to unsupervised methods. Nevertheless,
Abdullah, Mohd Mawardy, Ahmad, Asmala, Mohd Hashim, Ummi Kalsom, Mohd, Othman, Rasib, Abd Wahid, Sakidin, Hamzah, Sufahani, Suliadi Firdaus   +6 more
core   +1 more source

Uncertainties in classification system conversion and an analysis of inconsistencies in global land cover products [PDF]

, 2017
In this study, using the common classification systems of IGBP-17, IGBP-9, IPCC-5 and TC (vegetation, wetlands and others only), we studied spatial and areal inconsistencies in the three most recent multi-resource land cover products in a complex ...
De Maeyer, Philippe, Kurban, Alishir, Ma, Mingguo, Zhang, Miao   +3 more
core   +2 more sources

Changes in land cover, rainfall and stream flow in Upper Gilgel Abbay catchment, Blue Nile basin – Ethiopia [PDF]

, 2011
In this study we evaluated changes in land cover and rainfall in the Upper Gilgel Abbay catchment in the Upper Blue Nile basin and how changes affected stream flow in terms of annual flow, high flows and low flows.
Habib, E., Haile, A.T., Kebede, E., Mannaerts, C.M.M., Rientjes, T.H.M., Steenhuis, T.S.   +5 more
core   +3 more sources

Land use/land cover classification for Göktürk-2 satellite

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In this study, land-use/land-cover method for Gokturk-2 satellite was developed. Moreover, the developed method can be adapted to any satellite. The aim is to classify pixels in images captured by Gokturk-2 into four basic categories (soil, green areas, water bodies, and others), and to form a persistent mathematical model for this purpose.
Gurcan, Ilker, Teke, Mustafa, Leloglu, Ugur Murat   +2 more
openaire   +2 more sources