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Filtreler
Bulunan: 8 Adet 0.001 sn
Yazar/lar : YAVARIABDI, Amir ✕Atıf Dizini : Scopus ✕
Koleksiyon [4]
İlgili Araştırmacılar [3]
Ambargo Durumu [1]
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Yayın Türü [2]
Yazar/lar [10]
Atıf Dizini [2]
Konu Başlıkları [5]
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Tez Danışmanı [1]
Yayın Tarihi [5]
Tez Türü [1]
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Erişime Açık

Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach

YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin

A new unsupervised approach based on a hybrid wavelet transform and Fuzzy Clustering Method (FCM) with Multiobjective PMakale Swarm Optimization (MO-PSO) is proposed to obtain a binary change mask in Landsat images acquired with different atmospheric conditions. The proposed method uses the following steps: preprocessing, classification of preprocessed image, and binary masks fusion. Firstly, a photometric invariant technique is used to transform the Landsat images from RGB to HSV colour space. A hybrid wavelet transform based on Stationary (SWT) and Discrete Wavelet (DWT) Transforms is applie ...Daha fazlası

Makale 2018 Mathematical Problems in Engineering 2 Görüntülenme
Erişime Açık

Change Detection in Multispectral Landsat Images Using Multi-Objective Evolutionary Algorithms

YAVARIABDI, Amir

In this letter, we propose a novel method for unsupervised change detection in multitemporal multispectral Landsat images using multiobjective evolutionary algorithm (MOEA). The proposed method minimizes two different objective functions using MOEA to provide tradeoff between each other. The objective functions are used for evaluating changed and unchanged regions of the difference image separately. The difference image is obtained by using the structural similarity index measure method, which provides combination of the comparisons of luminance, contrast, and structure between two images. By ...Daha fazlası

Makale 2017 KUSETOĞULLARI, Hüseyin IEEE Geoscience and Remote Sensing Letters 3 Görüntülenme
Erişime Açık

Unsupervised Satellite Change Detection Using Particle Swarm Optimisation in Spherical Coordinates

UŞAKLI, Ali Bülent | YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin

This paper proposes a new unsupervised satellite change de- tection method, which is invariant to shadow and shading e ects. To achieve this, rstly, the RGB satellite images are transformed into spher- ical colour space to remove illumination artifacts. Then, a new unsuper- vised change detection is used. The resultant optimal binary change mask is obtained by minimisation a mean square error based cost function us- ing Binary Particle Swarm Optimisation (BPSO). The proposed method is compared with three other satellite change detection methods and the results demonstrate that our method provi ...Daha fazlası

Konferans Bildirisi 2015 5 Görüntülenme
Erişime Açık

Self-Adaptive Hybrid PSO-GA Method for Change Detection Under Varying Contrast Conditions in Satellite Images

KUSETOĞULLARI, Hüseyin | YAVARIABDI, Amir

This paper proposes a new unsupervised satellite change detection method, which is robust to illumination changes. To achieve this, firstly, a preprocessing strategy is used to remove illumination artifacts and results in less false detection than traditional threshold-based algorithms. Then, we use the corrected input data to define a new fitness function based on the difference image. The purpose of using Self-Adaptive Hybrid Particle Swarm Optimization-Genetic Algorithm (SAPSOGA) is to combine two meta-heuristic optimization algorithms to search and find the feasible solution in the NP-hard ...Daha fazlası

Konferans Bildirisi 2016 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme
Erişime Açık

Unsupervised Change Detection using Thin Cloud-Contaminated Landsat Images

YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin | MENDİ, Engin | KARABATAK, Begüm

In this paper, a novel unsupervised change detection method is proposed to automatically detect changes between two cloud-contaminated Landsat images. To achieve this, firstly, a photometric invariants technique with Stationary Wavelet Transform (SWT) are applied to input images to decrease the influence of cloud and noise artifacts in the change detection process. Then, mean shift image filtering is employed on the sub-band difference images, generated via image differencing technique, to smooth the images. Next, multiple binary change detection masks are obtained by partitioning the pixels i ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme
Erişime Açık

Evolutionary Multiobjective Multiple Description Wavelet Based Image Coding in the Presence of Mixed Noise in Images

YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin

In this paper, a novel method for generation of multiple description (MD) wavelet based image coding is proposed by using Multi-Objective Evolutionary Algorithms (MOEAs). Complexity of the multimedia transmission problem has been increased for MD coders if an input image is affected by any type of noise. In this case, it is necessary to solve two different problems which are designing the optimal side quantizers and estimating optimal parameters of the denoising filter. Existing MD coding (MDC) generation methods are capable of solving only one problem which is to design side quantizers from t ...Daha fazlası

Makale 2018 Applied Soft Computing 4 Görüntülenme
Erişime Açık

ARDIS: a Swedish historical handwritten digit dataset

CHEDDAD, Abbas | GRAHN, Håkan | HALL, Johan | KUSETOĞULLARI, Hüseyin | YAVARIABDI, Amir

This paper introduces a new image-based handwritten historical digit dataset named Arkiv Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish church records which were written by different priests with various handwriting styles in the nineteenth and twentieth centuries. The constructed dataset consists of three single-digit datasets and one-digit string dataset. The digit string dataset includes 10,000 samples in red–green–blue color space, whereas the other datasets contain 7600 single-digit images in different color spaces. An extensive analysis of machine l ...Daha fazlası

Makale 2019 Neural Computing and Applications 11 Görüntülenme
Erişime Açık

Real-Time Resistor Color Code Recognition using Image Processing in Mobile Devices

DEMİR, Muhammed Fatih | ÇANKIRLI, Ayşenur | KARABATAK, Begüm | YAVARIABDI, Amir | MENDİ, Engin | KUSETOĞULLARI, Hüseyin

This paper proposes a real-time video analysis algorithm to read the resistance value of a resistor using a color recognition technique. To achieve this, firstly, a nonlinear filtering is applied to input video frame to smooth intensity variations and remove impulse noises. After that, a photometric invariants technique is employed to transfer the video frame from RGB color space to Hue-Saturation-Value (HSV) color space, which decreases sensitivity of the proposed method to illumination changes. Next, a region of interest is defined to automatically detect resistor's colors and then an Euclid ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme
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