Research of Neural Network Applied on Seabed Sediment Recognition
碩士 === 國立中山大學 === 海下技術研究所 === 88 === Along with advancement of human industrialization, pollution in the ocean is getting worse. Moreover, the overfishing through the years has caused catastrophic damage to the ocean eco-system. In order to avoid exhaustion of fishery resource, many concepts of plan...
Main Authors: | Po-Yi Lee, 李柏儀 |
---|---|
Other Authors: | Ruey-Chang Wei |
Format: | Others |
Language: | zh-TW |
Published: |
2000
|
Online Access: | http://ndltd.ncl.edu.tw/handle/95237592433628083312 |
Similar Items
-
Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks
by: Xiaowen Luo, et al.
Published: (2019-01-01) -
Seabed sediments of Søre Sunnmøre, Norway
by: Sigrid Elvenes, et al.
Published: (2019-07-01) -
Seabed Sediment as an Annually Renewable Heat Source
by: Anne Mäkiranta, et al.
Published: (2018-02-01) -
A multiscale approach to mapping seabed sediments.
by: Benjamin Misiuk, et al.
Published: (2018-01-01) -
Physical Properties of Seabed Sediments off SW Taiwan
by: Su,Yu-Jo, et al.
Published: (2016)