제목 | Stanford scientists combine satellite data, machine learning to map poverty | ||
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국/내외 | 국외 | 작성일 | 2017-02-15 |
In the current issue of Science, Stanford researchers propose an accurate way to identify poverty in areas previously void of valuable survey information. The researchers used machine learning - the science of designing computer algorithms that learn from data - to extract information about poverty from high-resolution satellite imagery. In this case, the researchers built on earlier machine learning methods to find impoverished areas across five African countries. |
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출처 | news.stanford.edu |
이전글 | 서울지역 연무와 관련된 에어로졸의 광학 특성: 스카이라디오미터 및 위성관측연구 |
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다음글 | UNOSAT Flood Portal |
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카테고리 | 재난재해 |
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위성정보 | KOMPSAT-3 |
생성일 | 2015-03-24 |
ProductID | K3_20150505073608_15817_06161210 |
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국가(영문) | Nepal |
국가 | 네팔 |
지역 | Pokhara |
레벨 | 1R |