Scene classification for aerial images based on CNN using sparse coding technique-Reference-Cited by-同舟云学术

Scene classification for aerial images based on CNN using sparse coding technique

Published:2017-03-03 Issue:8-10 Volume:38 Page:2662-2685
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Qayyum Abdul¹,Malik Aamir Saeed¹,Saad Naufal M¹,Iqbal Mahboob¹,Faris Abdullah Mohd¹,Rasheed Waqas¹,Rashid Abdullah Tuan AB²,Bin Jafaar Mohd Yaqoob³

Affiliation:

1. Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia

2. Department of Electrical Engineering, Universiti Tenaga Nasional, IKRAM-UNITEN, Kajang, Selangor, Malaysia

3. Sabah Electricity Sdn Bhd (SESB), Wisma Lembaga Letrik Sabah, Jln Tuaran, Karamunsing, Kota Kinabalu, Sabah, Malaysia

Funder

Universiti Teknologi PETRONAS

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1296206

Reference40 articles.

1. An unsupervised feature learning framework for basal cell carcinoma image analysis

2. Representation Learning: A Review and New Perspectives

3. Pyramid of Spatial Relatons for Scene-Level Land Use Classification

4. Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

5. Multi-class geospatial object detection and geographic image classification based on collection of part detectors

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