Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
Special Issue for Applications of Remote Sensing in Private Companies : Case Examinations
Applicability of Landslide Extraction for Emergency Response with Artificial Intelligence
Wataru KOBAYASHIHiroyuki SHIMOMURAKazuo YOSHIKAWADaisuke TAKEDAYasunobu SHIMAZAKITakashi SHIBAYAMAYasunari MORITATomoyuki SUHAMA
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2020 Volume 40 Issue 3 Pages 153-157

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Abstract

This case study improves the method of interpretation and damage analysis of landslide disaster were compared for emergency response. Compared with the previous artificial intelligence model, the new one improved both precision and recall. This is due to the improved teaching data and learning methods. It will continue to be necessary to develop a model that reduces mis-extraction by adding training data and devising additional layers.

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© 2020 The Remote Sensing Society of Japan
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