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Change detection method for remote sensing images based on an improved Markov random field

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TLDR
Wang et al. as mentioned in this paper proposed a change detection method based on an improved MRF, where linear weights are designed for dividing unchanged, uncertain and changed pixels of the difference image, and spatial attraction model is introduced to refine the spatial neighborhood relations, which aims to enhance the accuracy of spatial information in MRF.
Abstract
The fixed weights between the center pixel and neighboring pixels are used in the traditional Markov random field for change detection, which will easily cause the overuse of spatial neighborhood information. Besides the traditional label field cannot accurately identify the spatial relations between neighborhood pixels. To solve these problems, this study proposes a change detection method based on an improved MRF. Linear weights are designed for dividing unchanged, uncertain and changed pixels of the difference image, and spatial attraction model is introduced to refine the spatial neighborhood relations, which aims to enhance the accuracy of spatial information in MRF. The experimental results indicate that the proposed method can effectively enhance the accuracy of change detection.

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Citations
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Journal ArticleDOI

Change detection techniques for remote sensing applications: a survey

TL;DR: This study attempts to provide a comprehensive review of the fundamental processes required for change detection with a brief account of the main techniques of change detection and discusses the need for development of enhanced change detection methods.
Journal ArticleDOI

Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art

TL;DR: Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately connected to many phases of the human and physical environment as mentioned in this paper, and Earth observation (EO) technology provides an in...
Journal ArticleDOI

From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques

TL;DR: Wang et al. as discussed by the authors proposed an end-to-end dual-branch architecture, termed the W-Net, with each branch taking as input one of the two bitemporal images as in the traditional change detection models.
Journal ArticleDOI

Novel Adaptive Histogram Trend Similarity Approach for Land Cover Change Detection by Using Bitemporal Very-High-Resolution Remote Sensing Images

TL;DR: An adaptive histogram trend (AHT) similarity approach is promoted to quantitatively measure the magnitude between the corresponding pixels in bitem temporal images in terms of change semantic to reduce the phenological effect on the bitemporal images of land cover change detection (LCCD).
Journal ArticleDOI

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

TL;DR: This article proposes an end-to-end dual-branch architecture, termed the W-Net, in which each branch takes as input one of the two bitemporal images as in the traditional change detection models, leading to a new GAN architecture for change detection which is called CDGAN.
References
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Journal ArticleDOI

Deep Convolutional Neural Networks for Hyperspectral Image Classification

TL;DR: Experimental results based on several hyperspectral image data sets demonstrate that the proposed method can achieve better classification performance than some traditional methods, such as support vector machines and the conventional deep learning-based methods.
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Game on, science - how video game technology may help biologists tackle visualization challenges.

TL;DR: This work uses the Unity3D game engine to develop and prototype a biological network and molecular visualization application for subsequent use in research or education and considers this work as a proof of principle demonstrating that the functionalities of classical viewers and more advanced novel features could be implemented in substantially less time and with less development effort.
Journal ArticleDOI

Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images

TL;DR: Theoretical analysis and experimental results on real SAR datasets show that the proposed approach can detect the real changes as well as mitigate the effect of speckle noises and is computationally simple in all the steps involved.
Journal ArticleDOI

Touch-less interactive augmented reality game on vision-based wearable device

TL;DR: In this article, a touchless motion interaction technology is designed and evaluated in order to develop touch-less, interactive and augmented reality games on vision-based wearable device, and three primitive AR games with eleven dynamic gestures are developed based on the proposed touchless interaction technology as proof.
Journal ArticleDOI

Multimodal Hand and Foot Gesture Interaction for Handheld Devices

TL;DR: A hand-and-foot-based multimodal interaction approach for handheld devices that combines input modalities and provides a coordinated output to both modalities along with audio and video is presented.
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