Automatic Recognition of Illegal Substations by Employing Logit-Boost Algorithm and LSTM With the Help of Different Landsat-8 OLI Image Spectral Band Parameters: A Case Study in Sason, Turkey-Reference-Cited by-同舟云学术

Automatic Recognition of Illegal Substations by Employing Logit-Boost Algorithm and LSTM With the Help of Different Landsat-8 OLI Image Spectral Band Parameters: A Case Study in Sason, Turkey

Published:2023 Issue: Volume:11 Page:112293-112306
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Acar Emrullah¹^ORCID,Bakiş Enes²^ORCID,Yilmaz Musa¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Batman University, Batman, Turkey

2. Department of Electrical and Electronics Engineering, Faculty of Engineering, Piri Reis University, Istanbul, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10278420.pdf?arnumber=10278420

Reference33 articles.

1. Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity

2. Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach

3. Classification of Very High Resolution Aerial Photos Using Spectral-Spatial Convolutional Neural Networks

4. Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques

5. Optimized Artificial Neural Network for the Classification of Urban Environment Comfort using Landsat-8 Remote Sensing Data in Greater Jakarta Area, Indonesia

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