Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images

Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images

This paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with th...

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Bibliographic Details
Main Author: Yu Haibo
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Subjects:
Remote sensing image
GIS database
Fuzzy classification
Cultivated land
Online Access:https://doi.org/10.1051/matecconf/201822802013
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spelling doaj-aa9a1fc7dec64561b559522ac8b664fa2021-02-02T00:50:33ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012280201310.1051/matecconf/201822802013matecconf_cas2018_02013Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing ImagesYu HaiboThis paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with their historical attributes; it can automatically monitor land use change. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification effect, and it can accurately determine the change area accurately and automatically. However, there are some partial errors in the region.https://doi.org/10.1051/matecconf/201822802013Remote sensing imageGIS databaseFuzzy classificationCultivated land
collection DOAJ
language English
format Article
sources DOAJ
author Yu Haibo
spellingShingle Yu Haibo
Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
MATEC Web of Conferences
Remote sensing image
GIS database
Fuzzy classification
Cultivated land
author_facet Yu Haibo
author_sort Yu Haibo
title Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
title_short Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
title_full Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
title_fullStr Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
title_full_unstemmed Research on Cultivated Land Change Based on GIS and High Resolution Remote Sensing Images
title_sort research on cultivated land change based on gis and high resolution remote sensing images
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This paper study an automatic monitoring method for land change based on high resolution remote sensing images and GIS data, and we use three classification methods to classify and fuse the research area. Secondly, the paper calculates the corresponding map class components and compares them with their historical attributes; it can automatically monitor land use change. The experimental results show that the fuzzy decision fusion classification can significantly improve the classification effect, and it can accurately determine the change area accurately and automatically. However, there are some partial errors in the region.
topic Remote sensing image
GIS database
Fuzzy classification
Cultivated land
url https://doi.org/10.1051/matecconf/201822802013
work_keys_str_mv AT yuhaibo researchoncultivatedlandchangebasedongisandhighresolutionremotesensingimages
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