Art
J-GLOBAL ID:202402219550629392   Reference number:24A0185711

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

Google地球エンジンと人工知能(AI):包括的レビュー【JST・京大機械翻訳】
Author (11):
Material:
Volume: 14  Issue: 14  Page: 3253  Publication year: 2022 
JST Material Number: U7270A  ISSN: 2072-4292  Document type: Article
Article type: 文献レビュー  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
Abstract/Point
Japanese summary of the article(about several hundred characters).
All summary is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
Remote sensing (RS) plays an i...
   To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=24A0185711&from=J-GLOBAL&jstjournalNo=U7270A") }}
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
, 【Automatic Indexing@JST】
JST classification (2):
JST classification
Category name(code) classified by JST.
Remote sensing in general  ,  Other information processing 
Reference (259):
  • Yang, L.; MacEachren, A.M.; Mitra, P.; Onorati, T. Visually-Enabled Active Deep Learning for (Geo) Text and Image Classification: A Review. ISPRS Int. J. Geo-Inf. 2018, 7, 65.
  • Sebestyén, V.; Czvetkó, T.; Abonyi, J. The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking. Front. Environ. Sci. 2021, 9, 619092.
  • Li, Z. Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directions. In High Performance Computing for Geospatial Applications; Tang, W., Wang, S., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 53-76. ISBN 9783030479985.
  • Lee, J.-G.; Kang, M. Geospatial Big Data: Challenges and Opportunities. Big Data Res. 2015, 2, 74-81.
  • Lippitt, C.D.; Zhang, S. The impact of small unmanned airborne platforms on passive optical remote sensing: A conceptual perspective. Int. J. Remote Sens. 2018, 39, 4852-4868.
more...
Terms in the title (5):
Terms in the title
Keywords automatically extracted from the title.

Return to Previous Page