Results 11 to 20 of about 643,359 (305)
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 +6 more
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STUDY ON THE TECHNOLOGY AND METHOD OF LAND COVER CLASSIFICATION FOR GEOGRAPHIC NATIONAL CONDITIONS SURVEYING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Land Cover is the basis of geographic national conditions monitoring, extracting land cover information timely and accurately has become one of important tasks in the geographic national conditions surveying project.
Y. Jia, H. T. Li, H. Y. Gu, Y. S. Han
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Cost-effective land cover classification for remote sensing images
Journal of Cloud Computing: Advances, Systems and Applications, 2022 Land cover maps are of vital importance to various fields such as land use policy development, ecosystem services, urban planning and agriculture monitoring, which are mainly generated from remote sensing image classification techniques. Traditional land
Dongwei Li +3 more
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Land, 2023 Reliable information of land cover dynamics in dryland cities is crucial for understanding the anthropogenic impacts on fragile environments. However, reduced classification accuracy of dryland cities often occurs in global land cover data. Although many
Wenfei Luan +6 more
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IEEE Access, 2020 Classifying remote sensing time-series in land cover trajectories can provide essential information about ecosystems functioning and about the impacts of natural phenomena or human activities over the environment.
Mariane Souza Reis +3 more
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ISPRS International Journal of Geo-Information, 2017 A number of national, regional and global land cover classification systems have been developed to meet specific user requirements for land cover mapping exercises, independent of scale, nomenclature and quality.
Hui Yang +4 more
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AN ITERATIVE INFERENCE PROCEDURE APPLYING CONDITIONAL RANDOM FIELDS FOR SIMULTANEOUS CLASSIFICATION OF LAND COVER AND LAND USE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Land cover and land use exhibit strong contextual dependencies. We propose a novel approach for the simultaneous classification of land cover and land use, where semantic and spatial context is considered.
L. Albert, F. Rottensteiner, C. Heipke
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Remote Sensing, 2017 Land cover classification is the most important element of land cover mapping and is a key input to many societal benefits. Traditional classification methods require a large amount of remotely sensed images, which are time consuming and labour intensive.
Hanfa Xing +4 more
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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. +2 more
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Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery. [PDF]
, 2015 The necessity for the development of repeatable, efficient, and accurate monitoring of land cover change is paramount to successful management of our planet’s natural resources. This study evaluated a number of remote sensing methods for classifying land
Campbell, Michael J +2 more
core +2 more sources