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Journals / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2022 / Cilt: 12 - Sayı: 3

Weather Detection from Sky Images with Dense Convolutional Neural Network

Yoğun Evrişimli Sinir Ağı ile Gökyüzü Görüntülerinden Hava Durumu Tespiti

Abdullah ŞENER
Burhan ERHEN
Pages
1238–1249
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the next part of the study, the classification process was carried out on the images with an accuracy rate of 96.4% using the DenseNet image classification model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Weather conditions appear as an unchangeable structure.
📊
Key Findings & Data:The number of images in the data set has been increased by using various data augmentation methods.
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Conclusion & Impact:In the next part of the study, the classification process was carried out on the images with an accuracy rate of 96.4% using the DenseNet image classification model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Görüntü sınıflandırma · Görüntü İşleme · Veri Arttırma

Abstract

Weather conditions appear as an unchangeable structure. However, determining and determining weather conditions can help individuals plan their physical activities. In the study, it has been tried to perform different sky images and weather detection processes with image classification methods, which is one of the popular work subjects in the computer field in recent years. In the study, a data set consisting of images with different weather conditions and resolutions was used. The number of images in the data set has been increased by using various data augmentation methods. The feature maps of the images were obtained by applying image processing techniques to the images. In the next part of the study, the classification process was carried out on the images with an accuracy rate of 96.4% using the DenseNet image classification model.

Özet

Hava durumu koşulları değiştirilemez bir yapı olarak karşımıza çıkmaktadır. Ancak hava koşullarının tespit edilip belirlenmesi bireylerin fiziksel aktivitelerini planlamasında yardımcı olabilmektedir. Yapılan çalışmada farklı gökyüzü görüntüleri ile hava durumu tespiti işlemlerini son yıllarda bilgisayar alanında popüler çalışma konularından biri olan görüntü sınıflandırma yöntemleriyle gerçekleştirilmeye çalışılmıştır. Çalışmada farklı hava koşullarına ve çözünürlüklere sahip görüntüden oluşan veri seti kullanılmış. Görüntüler üzerinde görüntü işleme teknikleri uygulanarak görüntülerin özellik haritaları çıkarılmıştır. %96.4 doğruluk oranı ile sınıflandırma işlemi gerçekleştirilmiştir. Gerçekleştirilen sınıflandırma sayesinde doğruluk oranı yüksek, kısa zamanlı ve maliyeti düşük hava durumu tespiti gerçekleştirilebilir.

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Cite This Article

ŞENER, A., ERHEN, B. (2022). Weather Detection from Sky Images with Dense Convolutional Neural Network. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 12 - Sayı: 3, 1238–1249. https://ajindex.com/articles/651466

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