Enhanced Satellite Imaging Algorithm Classifier using Convolutional Neural modified Support Vector Machine (CNMSVM)

被引：1
|
作者：
Nicart, Edgar Bryan B. [1 ,2 ]
Chan, Tony Y. T. [1 ]
Medina, Ruji P. [1 ]
机构：
[1] Technol Inst Philippines, Graduate Studies Program, Quezon City, Philippines
[2] Camarines Norte State Coll, Daet, Camarines Norte, Philippines
来源：
PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON VIDEO AND IMAGE PROCESSING (ICVIP 2018) | 2018年
关键词：
Artificial intelligence; convolutional neural network; satellite image; support vector machine;
D O I：
10.1145/3301506.3301545
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The development of Enhanced Satellite Imaging Algorithm is a continuous effort to achieve further advancement in the area of image processing and recognition through the use of artificial intelligence theories and applications. This study utilized a convolutional neural modified support vector machine aimed at satellite image map classification via new model. The dataset comes from Kaggle using satellite images of the Amazon Rainforest to train multilabel classifier. The result was evaluated using F-2 score which achieved at least 0.91412 by training CNMSVM proposed model.
引用
收藏
页码：222 / 225
页数：4
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