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1.
Tilt correction toward building detection of remote sensing images
Kang Liu, Zhiyu Jiang, Mingliang Xu, Matjaž Perc, Xuelong Li, 2021, izvirni znanstveni članek

Opis: Building detection is a crucial task in the field of remote sensing, which can facilitate urban construction planning, disaster survey, and emergency landing. However, for large-size remote sensing images, the great majority of existing works have ignored the image tilt problem. This problem can result in partitioning buildings into separately oblique parts when the large-size images are partitioned. This is not beneficial to preserve semantic completeness of the building objects. Motivated by the above fact, we first propose a framework for detecting objects in a large-size image, particularly for building detection. The framework mainly consists of two phases. In the first phase, we particularly propose a tilt correction (TC) algorithm, which contains three steps: texture mapping, tilt angle assessment, and image rotation. In the second phase, building detection is performed with object detectors, especially deep-neural-network-based methods. Last but not least, the detection results will be inversely mapped to the original large-size image. Furthermore, a challenging dataset named Aerial Image Building Detection is contributed for the public research. To evaluate the TC method, we also define an evaluation metric to compute the cost of building partition. The experimental results demonstrate the effects of the proposed method for building detection.
Ključne besede: building detection, cost of building partition, deep neural network, remote sensing, tilt correction
Objavljeno v DKUM: 26.09.2024; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (8,62 MB)
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2.
Background purification framework with extended morphological attribute profile for hyperspectral anomaly detection
Ju Huang, Kang Liu, Mingliang Xu, Matjaž Perc, Xuelong Li, 2021, izvirni znanstveni članek

Opis: Hyperspectral anomaly detection has attracted extensive interests for its wide use in military and civilian fields, and three main categories of detection methods have been developed successively over past few decades, including statistical model-based, representation-based, and deep-learning-based methods. Most of these algorithms are essentially trying to construct proper background profiles, which describe the characteristics of background and then identify the pixels that do not conform to the profiles as anomalies. Apparently, the crucial issue is how to build an accurate background profile; however, the background profiles constructed by existing methods are not accurate enough. In this article, a novel and universal background purification framework with extended morphological attribute profiles is proposed. It explores the spatial characteristic of image and removes suspect anomaly pixels from the image to obtain a purified background. Moreover, three detectors with this framework covering different categories are also developed. The experiments implemented on four real hyperspectral images demonstrate that the background purification framework is effective, universal, and suitable. Furthermore, compared with other popular algorithms, the detectors with the framework perform well in terms of accuracy and efficiency.
Ključne besede: detectors, anomaly detection, image reconstruction, hyperspectral imaging, training, optics, dictionaries, background purification, extended attribute profile, sparse representation, stacked autoencoder
Objavljeno v DKUM: 19.08.2024; Ogledov: 92; Prenosov: 9
.pdf Celotno besedilo (5,36 MB)
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3.
Learning Chinese as a foreign language : an introduction
Juliane House, Dániel Z. Kádár, 2023, drugi znanstveni članki

Opis: In this introductory paper, we first present the background of the present special issue dedicated to Willis Edmondson. We first point out why Edmondson provided a ground-breaking contribution to the field of applied linguistics and why it is particularly timely to edit a special issue centering on his framework. We also argue that Edmondson's bottom-up and strictly language-anchored view on speech acts and interaction is particularly useful to examine the learning of Chinese as a foreign language, by going beyond exoticizing and overgeneralizing views of the Chinese linguaculture. Second, we briefly present what can be regarded as the heart and soul of the Edmondsonian framework, that is, a typology of speech acts and a related procedure through which the relationship between speech acts in interaction can be captured. Third, we present a research procedure that we outlined in our previous work, and which helps implementing the Edmondsonian model in the pragmatic study of foreign language learning. Finally, we present the contents of the special issue.
Ključne besede: Chinese, interaction, speech acts, second language pragmatics
Objavljeno v DKUM: 21.02.2024; Ogledov: 341; Prenosov: 27
.pdf Celotno besedilo (348,04 KB)
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4.
Learning Chinese in a study abroad context : the case of ritual congratulating
Juliane House, Dániel Z. Kádár, 2023, izvirni znanstveni članek

Opis: In this paper, we explore how and why the realisation of the ritual act of congratulating may turn out to be challenging for foreign learners of Chinese. Congratulating and other ceremonial ritual acts are not only used when someone participates in an actual ritual event: they are also required when they are mentioned in mundane events, like casual interactions when someone talks about a family birthday or wedding. We define congratulation as an interactional move and systematically examine its conventional realisation patterns through a typology of speech acts. We approach congratulating moves by combining a speech act-anchored analysis with the field of study abroad and interaction ritual research. The results of our analysis show that various ritual occasions may trigger different types of inappropriate uses of congratulating by foreign learners of Chinese.
Ključne besede: Chinese, interaction rituals, speech acts, study abroad, congratulating
Objavljeno v DKUM: 20.02.2024; Ogledov: 445; Prenosov: 26
.pdf Celotno besedilo (462,61 KB)
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