Search Results - "IEEE journal of selected topics in applied earth observations and remote sensing"

Hyper-Sharpening: A First Approach on SIM-GA Data by Selva, Massimo, Aiazzi, Bruno, Butera, Francesco, Chiarantini, Leandro, Baronti, Stefano

“…This paper aims at defining a new paradigm (hypersharpening) in remote sensing image fusion. In fact, due to the development of new instruments, thinking only…”
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Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning by Pyorala, Jiri, Liang, Xinlian, Vastaranta, Mikko, Saarinen, Ninni, Kankare, Ville, Wang, Yunsheng, Holopainen, Markus, Hyyppa, Juha

“…State-of-the-art technology available at sawmills enables measurements of whorl numbers and the maximum branch diameter for individual logs, but such…”
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A Multi-kernel Joint Sparse Graph for SAR Image Segmentation by Gu, Jing, Jiao, Licheng, Yang, Shuyuan, Liu, Fang, Hou, Biao, Zhao, Zhiqiang

“…Recently, more and more attention has been drawn on the study of sparse graph-based classification with respect to pattern recognition and computer vision…”
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Mapping Impervious Cover Using Multi-Temporal MODIS NDVI Data by Knight, Joseph, Voth, Margaret

“…Mapping impervious surfaces over regional or continental scale study areas with high spatial resolution imagery is difficult due to the cost and time involved…”
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Clutter Modeling for Ground-Penetrating Radar Measurements in Heterogeneous Soils by Takahashi, Kazunori, Igel, Jan, Preetz, Holger

“…Ground-penetrating radar (GPR) measurement and its interpretation/analysis are challenging when soil is heterogeneous. Soil heterogeneity causes unwanted…”
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Infrared Remote Sensing of Surf-Zone Eddies by Marmorino, George O., Smith, Geoffrey B., Miller, W. David

“…Airborne infrared imagery is used for the first time to investigate characteristics of surf-zone eddies, occurring along an along-shore uniform beach. Eddies…”
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Sea-Ice Production in Antarctic Coastal Polynyas Estimated From AMSR2 Data and Its Validation Using AMSR-E and SSM/I-SSMIS Data by Nihashi, Sohey, Ohshima, Kay I., Tamura, Takeshi

“…Antarctic coastal polynyas are very high sea-ice production areas. The resultant large amount of brine rejection leads to the formation of dense water. The…”
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Evaluation of Marine Surface Wind Speed Observations From AMSR2 on GCOM-W Satellite by Ebuchi, Naoto

“…Observations of marine surface scalar wind speeds from the advanced microwave scanning radiometer 2 (AMSR2), onboard the global change observation…”
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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification by Helber, Patrick, Bischke, Benjamin, Dengel, Andreas, Borth, Damian

“…In this paper, we present a patch-based land use and land cover classification approach using Sentinel-2 satellite images. The Sentinel-2 satellite images are…”
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities by Cheng, Gong, Xie, Xingxing, Han, Junwei, Guo, Lei, Xia, Gui-Song

“…Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad…”
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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images by Chen, Jie, Yuan, Ziyang, Peng, Jian, Chen, Li, Huang, Haozhe, Zhu, Jiawei, Liu, Yu, Li, Haifeng

“…Change detection is a basic task of remote sensing image processing. The research objective is to identify the change information of interest and filter out…”
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Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review by Amani, Meisam, Ghorbanian, Arsalan, Ahmadi, Seyed Ali, Kakooei, Mohammad, Moghimi, Armin, Mirmazloumi, S. Mohammad, Moghaddam, Sayyed Hamed Alizadeh, Mahdavi, Sahel, Ghahremanloo, Masoud, Parsian, Saeid, Wu, Qiusheng, Brisco, Brian

“…Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common…”
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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review by Sheykhmousa, Mohammadreza, Mahdianpari, Masoud, Ghanbari, Hamid, Mohammadimanesh, Fariba, Ghamisi, Pedram, Homayouni, Saeid

“…Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning…”
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YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning by Liu, Wei, Quijano, Karoll, Crawford, Melba M.

“…Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras and LiDAR, have significant potential in precision agriculture,…”
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A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening by Yuan, Qiangqiang, Wei, Yancong, Meng, Xiangchao, Shen, Huanfeng, Zhang, Liangpei

“…Pan-sharpening is a fundamental and significant task in the field of remote sensing imagery processing, in which high-resolution spatial details from…”
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Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects by Ahmad, Muhammad, Shabbir, Sidrah, Roy, Swalpa Kumar, Hong, Danfeng, Wu, Xin, Yao, Jing, Khan, Adil Mehmood, Mazzara, Manuel, Distefano, Salvatore, Chanussot, Jocelyn

“…Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained…”
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Progress and Challenges in Intelligent Remote Sensing Satellite Systems by Zhang, Bing, Wu, Yuanfeng, Zhao, Boya, Chanussot, Jocelyn, Hong, Danfeng, Yao, Jing, Gao, Lianru

“…Due to advances in remote sensing satellite imaging and image processing technologies and their wide applications, intelligent remote sensing satellites are…”
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Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network by Chen, Yushi, Zhao, Xing, Jia, Xiuping

“…Hyperspectral data classification is a hot topic in remote sensing community. In recent years, significant effort has been focused on this issue. However, most…”
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Deep Learning-Based Classification of Hyperspectral Data by Chen, Yushi, Lin, Zhouhan, Zhao, Xing, Wang, Gang, Gu, Yanfeng

“…Classification is one of the most popular topics in hyperspectral remote sensing. In the last two decades, a huge number of methods were proposed to deal with…”
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Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition by Wang, Yao, Peng, Jiangjun, Zhao, Qian, Leung, Yee, Zhao, Xi-Le, Meng, Deyu

“…Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise,…”
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