แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Witthawin Achariyaviriya. Landslide semantic segmentation using satellite imagery. Master's Degree(Artificial Intelligence and Internet of Things). Thammasat University. Thammasat University Library. : Thammasat University, 2021.
Landslide semantic segmentation using satellite imagery
Name: Witthawin Achariyaviriya
keyword:
Semantic segmentation
Abstract:
This work aims to improve the accuracy of landslide detection and detecting landslide scar with single satellite imagery by using slope factor extraction and normalized difference vegetation index (NDVI) extraction and by combining three semantic segmentation models based on a convolutional neural network with a classification/decision tree. The proposed method used three semantic segmentation models with a decision tree. The first model is trained by a training set of color images. The second model is trained by a training set of slope factor images. The third model is trained by a training set of NDVI images. The slope factor and NDVI are extracted from color images that contain red, green, and blue bands. The results from three models are used to generate features for training the classification tree. Evaluation metrics (precision, recall, and F2 score) can be improved by using slope factor and NDVI. In combining three models, the F1 score and F2 score are increased more than using a single of color images 16.71% and 24.15%, respectively in Resnet18, and increased16.80% and 26.20% respectively in Resnet50. Moreover, the slope factor detection model and NDVI detection model can support some areas that the color image detection model cannot detect
Thammasat University. Thammasat University Library
Address:
BANGKOK
Email:
preserv@tu.ac.th
Name: Kondo, Toshiaki
Role:
advisor
Created:
2021
Modified:
2023-04-20
Issued:
2023-04-20
วิทยานิพนธ์/Thesis
application/pdf
eng
DegreeName: Master of Engineering
Level: Master's Degree
Descipline: Artificial Intelligence and Internet of Things
Grantor: Thammasat University
©copyrights Thammasat University
RightsAccess:
ใช้เวลา
0.020336 วินาที
Witthawin Achariyaviriya
| Title | Contributor | Type |
|---|---|---|
| Landslide semantic segmentation using satellite imagery
มหาวิทยาลัยธรรมศาสตร์ Witthawin Achariyaviriya | Kondo, Toshiaki | วิทยานิพนธ์/Thesis |
Kondo, Toshiaki