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Ziwei Tian, Jie Huang, Yang Yang and Weiying Nie
Aerial remote sensing image object detection, based on deep learning, is of great significance in geological resource exploration, urban traffic management, and military strategic information. To improve intractable problems in aerial remote sensing imag...
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Zhu Zhu, Tinggang Zhou, Jinsong Chen, Xiaoli Li, Shanxin Guo, Longlong Zhao and Luyi Sun
Change detection for remote sensing images.
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Jin Zheng, Tong Wang, Zhi Zhang and Hongwei Wang
The objects in remote sensing images have large-scale variations, arbitrary directions, and are usually densely arranged, and small objects are easily submerged by background noises. They all hinder accurate object detection. To address the above problem...
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Shuai Liu and Jialan Tang
Small object detection in very-high-resolution (VHR) optical remote sensing images is a fundamental but challenaging problem due to the latent complexities. To tackle this problem, the MdrlEcf model is proposed by modifying deep reinforcement learning (D...
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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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Lei Wang, Yang Chen, Luliang Tang, Rongshuang Fan and Yunlong Yao
Cloud and snow detection is one of the most significant tasks for remote sensing image processing. However, it is a challenging task to distinguish between clouds and snow in high-resolution multispectral images due to their similar spectral distribution...
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Qingtian Ke and Peng Zhang
Existing optical remote sensing image change detection (CD) methods aim to learn an appropriate discriminate decision by analyzing the feature information of bitemporal images obtained at the same place. However, the complex scenes in high-resolution (HR...
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Osmar Luiz Ferreira de Carvalho, Rebeca dos Santos de Moura, Anesmar Olino de Albuquerque, Pablo Pozzobon de Bem, Rubens de Castro Pereira, Li Weigang, Dibio Leandro Borges, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes and Osmar Abílio de Carvalho Júnior
Misappropriation of public lands is an ongoing government concern. In Brazil, the beach zone is public property, but many private establishments use it for economic purposes, requiring constant inspection. Among the undue targets, the individual mapping ...
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Hongyin Han, Chengshan Han, Taiji Lan, Liang Huang, Changhong Hu and Xucheng Xue
Shadow often results in difficulties for subsequent image applications of multispectral satellite remote sensing images, like object recognition and change detection. With continuous improvement in both spatial and spectral resolutions of satellite remot...
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Fan Yang, Jianhua Guo, Hai Tan and Jingxue Wang
The extraction of urban water bodies from high-resolution remote sensing images, which has been a hotspot in researches, has drawn a lot of attention both domestic and abroad. A challenging issue is to distinguish the shadow of high-rise buildings from w...
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Fan Yang, Jianhua Guo, Hai Tan, Jingxue Wang
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The extraction of urban water bodies from high-resolution remote sensing images, which has been a hotspot in researches, has drawn a lot of attention both domestic and abroad. A challenging issue is to distinguish the shadow of high-rise buildings from w...
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Kemal Haciefendioglu, Ahmet Can Altunisik and Tugba Abdioglu
The efficient and precise identification of cracks in masonry stone structures caused by natural or human-induced factors within a specific region holds significant importance in detecting damage and subsequent secondary harm. In recent times, remote sen...
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Guoqing Chen and Haizhong Qian
The extraction of skeleton lines of buildings is a key step in building spatial analysis, which is widely performed for building matching and updating. Several methods for vector data skeleton line extraction have been established, including the improved...
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Paulina Zachar, Wojciech Ostrowski, Anna Platek-Zak and Zdzislaw Kurczynski
The dynamic development of deep learning methods in recent years has prompted the widespread application of these algorithms in the field of photogrammetry and remote sensing, especially in the areas of image recognition, classification, and object detec...
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Hongyun Zhang, Jin Liu and Jie Liu
The geometric features of ground objects can reflect the shape, contour, length, width, and pixel distribution of ground objects and have important applications in the process of object detection and recognition. However, the geometric features of object...
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Liang Huang, Mulan Qiu, Anze Xu, Yu Sun and Juanjuan Zhu
Road traffic elements comprise an important part of roads and represent the main content involved in the construction of a basic traffic geographic information database, which is particularly important for the development of basic traffic geographic info...
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Rui Zhang, Xueyang Zhang, Longlong Xiao and Jiayu Qiu
The remote sensing satellite constellation based on micro-satellites is an important means to construct a global and all-sky earth observation system in the future. Therefore, realizing the recognition of aircraft activities on video micro-satellites is ...
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Tianqi Qiu, Xiaojin Liang, Qingyun Du, Fu Ren, Pengjie Lu and Chao Wu
Emergency remote sensing mapping can provide support for decision making in disaster assessment or disaster relief, and therefore plays an important role in disaster response. Traditional emergency remote sensing mapping methods use decryption algorithms...
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Zemin Han, Yuanyong Dian, Hao Xia, Jingjing Zhou, Yongfeng Jian, Chonghuai Yao, Xiong Wang and Yuan Li
Land cover is an important variable of the terrestrial ecosystem that provides information for natural resources management, urban sprawl detection, and environment research. To classify land cover with high-spatial-resolution multispectral remote sensin...
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Kamila Pawluszek, Sylwia Marczak, Andrzej Borkowski and Paolo Tarolli
Landslide identification is a fundamental step enabling the assessment of landslide susceptibility and determining the associated risks. Landslide identification by conventional methods is often time-consuming, therefore alternative techniques, including...
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