Visualization of farm land use by classifying satellite images

Xiaojin Liao; Xiaodi Huang; Weidong Huang

doi:10.1007/978-3-030-00560-3_40

Visualization of farm land use by classifying satellite images

Xiaojin Liao, Xiaodi Huang, Weidong Huang

Research output: Book chapter/Published conference paper › Conference paper › peer-review

4 Citations (Scopus)

Abstract

Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.

Original language	English
Title of host publication	Cooperative design, visualization, and engineering
Subtitle of host publication	15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings
Editors	Yuhua Luo
Place of Publication	Springer Nature Switzerland AG 2018
Publisher	Springer
Pages	287-290
Number of pages	4
Volume	11151
ISBN (Electronic)	9783030005603
ISBN (Print)	9783030005597
DOIs	https://doi.org/10.1007/978-3-030-00560-3_40
Publication status	Published - 12 Sept 2018
Event	15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018 - Hangzhou Jinxi Hotel, Hangzhou, China Duration: 21 Oct 2018 → 24 Oct 2018 http://www.cdve.org/cdve2018/ (Conference website) https://www.springer.com/us/book/9783030005597 (Conference proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11151 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018
Country/Territory	China
City	Hangzhou
Period	21/10/18 → 24/10/18
Internet address	http://www.cdve.org/cdve2018/ (Conference website) https://www.springer.com/us/book/9783030005597 (Conference proceedings)

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10.1007/978-3-030-00560-3_40

Cite this

Liao, X., Huang, X., & Huang, W. (2018). Visualization of farm land use by classifying satellite images. In Y. Luo (Ed.), Cooperative design, visualization, and engineering: 15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings (Vol. 11151, pp. 287-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11151 LNCS). Springer. https://doi.org/10.1007/978-3-030-00560-3_40

Liao, Xiaojin ; Huang, Xiaodi ; Huang, Weidong. / Visualization of farm land use by classifying satellite images. Cooperative design, visualization, and engineering: 15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings. editor / Yuhua Luo. Vol. 11151 Springer Nature Switzerland AG 2018 : Springer, 2018. pp. 287-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Visualization of farm land use by classifying satellite images",

abstract = "Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.",

keywords = "CapsNet, Classification, CNN, Data analytics, Land use mapping, Visualization",

author = "Xiaojin Liao and Xiaodi Huang and Weidong Huang",

note = "Includes bibliographical references.; 15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018 ; Conference date: 21-10-2018 Through 24-10-2018",

year = "2018",

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doi = "10.1007/978-3-030-00560-3_40",

language = "English",

isbn = "9783030005597",

volume = "11151",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "287--290",

editor = "Yuhua Luo",

booktitle = "Cooperative design, visualization, and engineering",

address = "United States",

url = "http://www.cdve.org/cdve2018/, https://www.springer.com/us/book/9783030005597",

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Liao, X, Huang, X & Huang, W 2018, Visualization of farm land use by classifying satellite images. in Y Luo (ed.), Cooperative design, visualization, and engineering: 15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings. vol. 11151, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11151 LNCS, Springer, Springer Nature Switzerland AG 2018, pp. 287-290, 15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018, Hangzhou, China, 21/10/18. https://doi.org/10.1007/978-3-030-00560-3_40

Visualization of farm land use by classifying satellite images. / Liao, Xiaojin; Huang, Xiaodi; Huang, Weidong.
Cooperative design, visualization, and engineering: 15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings. ed. / Yuhua Luo. Vol. 11151 Springer Nature Switzerland AG 2018: Springer, 2018. p. 287-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11151 LNCS).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - Visualization of farm land use by classifying satellite images

AU - Liao, Xiaojin

AU - Huang, Xiaodi

AU - Huang, Weidong

N1 - Includes bibliographical references.

PY - 2018/9/12

Y1 - 2018/9/12

N2 - Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.

AB - Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.

KW - CapsNet

KW - Classification

KW - CNN

KW - Data analytics

KW - Land use mapping

KW - Visualization

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DO - 10.1007/978-3-030-00560-3_40

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SN - 9783030005597

VL - 11151

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 287

EP - 290

BT - Cooperative design, visualization, and engineering

A2 - Luo, Yuhua

PB - Springer

CY - Springer Nature Switzerland AG 2018

T2 - 15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018

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Liao X, Huang X, Huang W. Visualization of farm land use by classifying satellite images. In Luo Y, editor, Cooperative design, visualization, and engineering: 15th International Conference, CDVE 2018, Hangzhou, China, October 21–24, 2018, Proceedings. Vol. 11151. Springer Nature Switzerland AG 2018: Springer. 2018. p. 287-290. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00560-3_40

Visualization of farm land use by classifying satellite images

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