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Mohamed Soudy, Yasmine M. Afify and Nagwa Badr
Scene classification is one of the most complex tasks in computer-vision. The accuracy of scene classification is dependent on other subtasks such as object detection and object classification. Accurate results may be accomplished by employing object det...
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Muhammad Akhtar, Iqbal Murtza, Muhammad Adnan and Ayesha Saadia
Natural scene classification, which has potential applications in precision agriculture, environmental monitoring, and disaster management, poses significant challenges due to variations in the spatial resolution, spectral resolution, texture, and size o...
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Liu Cui, Hui Yang, Liang Chu, Qingping He, Fei Xu, Yina Qiao, Zhaojin Yan, Ran Wang and Hui Ci
Land cover is important for global change studies, and its accuracy and reliability are usually verified by field sampling, which costs a lot. A method was proposed for the verification of land cover datasets with the geo-tagged natural scene images usin...
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Woon-Ha Yeo, Young-Jin Heo, Young-Ju Choi and Byung-Gyu Kim
Scene or place classification is one of the important problems in image and video search and recommendation systems. Humans can understand the scene they are located, but it is difficult for machines to do it. Considering a scene image which has several ...
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Yong Li, Guofeng Tong, Xiance Du, Xiang Yang, Jianjun Zhang and Lin Yang
3D point cloud classification has wide applications in the field of scene understanding. Point cloud classification based on points can more accurately segment the boundary region between adjacent objects. In this paper, a point cloud classification algo...
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Zhipeng Deng, Hao Sun and Shilin Zhou
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Xian-Hua Han and Yen-wei Chen
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Meriame Mohajane, Ali Essahlaoui, Fatiha Oudija, Mohammed El Hafyani, Abdellah El Hmaidi, Abdelhadi El Ouali, Giovanni Randazzo and Ana C. Teodoro
The study of land use/land cover (LULC) has become an increasingly important stage in the development of forest ecosystems strategies. Hence, the main goal of this study was to describe the vegetation change of Azrou Forest in the Middle Atlas, Morocco, ...
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Meriame Mohajane, Ali Essahlaoui, Fatiha Oudija, Mohammed El Hafyani, Abdellah El Hmaidi, Abdelhadi El Ouali, Giovanni Randazzo and Ana C. Teodoro
The study of land use/land cover (LULC) has become an increasingly important stage in the development of forest ecosystems strategies. Hence, the main goal of this study was to describe the vegetation change of Azrou Forest in the Middle Atlas, Morocco, ...
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Meriame Mohajane, Ali Essahlaoui, Fatiha Oudija, Mohammed El Hafyani, Abdellah El Hmaidi, Abdelhadi El Ouali, Giovanni Randazzo and Ana C. Teodoro
The study of land use/land cover (LULC) has become an increasingly important stage in the development of forest ecosystems strategies. Hence, the main goal of this study was to describe the vegetation change of Azrou Forest in the Middle Atlas, Morocco, ...
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Romy Müller, Marcel Dürschmidt, Julian Ullrich, Carsten Knoll, Sascha Weber and Steffen Seitz
Deep neural networks are powerful image classifiers but do they attend to similar image areas as humans? While previous studies have investigated how this similarity is shaped by technological factors, little is known about the role of factors that affec...
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Renfei Yang, Fang Luo, Fu Ren, Wenli Huang, Qianyi Li, Kaixuan Du and Dingdi Yuan
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Konstantinos Demertzis and Lazaros Iliadis
Deep learning architectures are the most effective methods for analyzing and classifying Ultra-Spectral Images (USI). However, effective training of a Deep Learning (DL) gradient classifier aiming to achieve high classification accuracy, is extremely cos...
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Yating Gu, Yantian Wang and Yansheng Li
As a fundamental and important task in remote sensing, remote sensing image scene understanding (RSISU) has attracted tremendous research interest in recent years. RSISU includes the following sub-tasks: remote sensing image scene classification, remote ...
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Marc Ciufo Green and Damian Murphy
The classification of acoustic scenes and events is an emerging area of research in the field of machine listening. Most of the research conducted so far uses spectral features extracted from monaural or stereophonic audio rather than spatial features ex...
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Sangwon Lee, Hyemi Kim and Gil-Jin Jang
Audio classification; music information retrieval; audio scene characterization; temporal localization of sound sources; audio indexing; audio surveillance systems; anomaly detection from audio sounds.
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Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen and Mohamed I. Eldesouki
Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific...
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Zhaoyang Liu, Renxiang Guan, Jingyu Hu, Weitao Chen and Xianju Li
Classification of remote sensing scene image (RSSI) has been broadly applied and has attracted increasing attention. However, scene classification methods based on convolutional neural networks (CNNs) require a large number of manually labeled samples as...
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Matthew S. O?Banion, Michael J. Olsen, Jeff P. Hollenbeck and William C. Wright
Extensive gaps in terrestrial laser scanning (TLS) point cloud data can primarily be classified into two categories: occlusions and dropouts. These gaps adversely affect derived products such as 3D surface models and digital elevation models (DEMs), requ...
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Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Hebah Elgibreen and Mansour Zuair
Zero-shot classification presents a challenge since it necessitates a model to categorize images belonging to classes it has not encountered during its training phase. Previous research in the field of remote sensing (RS) has explored this task by traini...
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