Remote Sensing Image Scene Classification Using Bag of Convolutional Features

Volume: 14, Issue: 10, Pages: 1735 - 1739
Published: Oct 1, 2017
Abstract
More recently, remote sensing image classification has been moving from pixel-level interpretation to scene-level semantic understanding, which aims to label each scene image with a specific semantic class. While significant efforts have been made in developing various methods for remote sensing image scene classification, most of them rely on handcrafted features. In this letter, we propose a novel feature representation method for scene...
Paper Details
Title
Remote Sensing Image Scene Classification Using Bag of Convolutional Features
Published Date
Oct 1, 2017
Volume
14
Issue
10
Pages
1735 - 1739
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.