Search Results - "Remote sensing (Basel, Switzerland)"

On the Use of Unmanned Aerial Systems for Environmental Monitoring by Manfreda, Salvatore, McCabe, Matthew, Miller, Pauline, Lucas, Richard, Pajuelo Madrigal, Victor, Mallinis, Giorgos, Ben Dor, Eyal, Helman, David, Estes, Lyndon, Ciraolo, Giuseppe, Müllerová, Jana, Tauro, Flavia, de Lima, M., de Lima, João, Maltese, Antonino, Frances, Felix, Caylor, Kelly, Kohv, Marko, Perks, Matthew, Ruiz-Pérez, Guiomar, Su, Zhongbo, Vico, Giulia, Toth, Brigitta

“…Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of…”
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Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review by Vali, Ava, Comai, Sara, Matteucci, Matteo

“…Lately, with deep learning outpacing the other machine learning techniques in classifying images, we have witnessed a growing interest of the remote sensing…”
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Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends by Hoeser, Thorsten, Kuenzer, Claudia

“…Deep learning (DL) has great influence on large parts of science and increasingly established itself as an adaptive method for new challenges in the field of…”
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Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine by Mullissa, Adugna, Vollrath, Andreas, Odongo-Braun, Christelle, Slagter, Bart, Balling, Johannes, Gou, Yaqing, Gorelick, Noel, Reiche, Johannes

“…Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of…”
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Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows by Aasen, Helge, Honkavaara, Eija, Lucieer, Arko, Zarco-Tejada, Pablo

“…In the last 10 years, development in robotics, computer vision, and sensor technology has provided new spectral remote sensing tools to capture unprecedented…”
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Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review by Abdollahi, Abolfazl, Pradhan, Biswajeet, Shukla, Nagesh, Chakraborty, Subrata, Alamri, Abdullah

“…One of the most challenging research subjects in remote sensing is feature extraction, such as road features, from remote sensing images. Such an extraction…”
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Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images by Bah, M, Hafiane, Adel, Canals, Raphael

“…In recent years, weeds have been responsible for most agricultural yield losses. To deal with this threat, farmers resort to spraying the fields uniformly with…”
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Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images by Wang, Libo, Li, Rui, Wang, Dongzhi, Duan, Chenxi, Wang, Teng, Meng, Xiaoliang

“…Semantic segmentation from very fine resolution (VFR) urban scene images plays a significant role in several application scenarios including autonomous…”
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Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images by Benjdira, Bilel, Bazi, Yakoub, Koubaa, Anis, Ouni, Kais

“…Segmenting aerial images is of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the…”
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Remote Sensing and Cropping Practices: A Review by Bégué, Agnès, Arvor, Damien, Bellon, Beatriz, Betbeder, Julie, de Abelleyra, Diego, P. D. Ferraz, Rodrigo, Lebourgeois, Valentine, Lelong, Camille, Simões, Margareth, R. Verón, Santiago

“…For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this…”
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Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation by Praticò, Salvatore, Solano, Francesco, Di Fazio, Salvatore, Modica, Giuseppe

“…The sustainable management of natural heritage is presently considered a global strategic issue. Owing to the ever-growing availability of free data and…”
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Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging by Nevalainen, Olli, Honkavaara, Eija, Tuominen, Sakari, Viljanen, Niko, Hakala, Teemu, Yu, Xiaowei, Hyyppä, Juha, Saari, Heikki, Pölönen, Ilkka, Imai, Nilton, Tommaselli, Antonio

“…Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering…”
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Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle by Fu, Zhaopeng, Jiang, Jie, Gao, Yang, Krienke, Brian, Wang, Meng, Zhong, Kaitai, Cao, Qiang, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Liu, Xiaojun

“…Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-time, nondestructive monitoring of crop growth is instructive for…”
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Oil Spill Identification from Satellite Images Using Deep Neural Networks by Krestenitis, Marios, Orfanidis, Georgios, Ioannidis, Konstantinos, Avgerinakis, Konstantinos, Vrochidis, Stefanos, Kompatsiaris, Ioannis

“…Oil spill is considered one of the main threats to marine and coastal environments. Efficient monitoring and early identification of oil slicks are vital for…”
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A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions by Rashidi, Maria, Mohammadi, Masoud, Sadeghlou Kivi, Saba, Abdolvand, Mohammad Mehdi, Truong-Hong, Linh, Samali, Bijan

“…Over the last decade, particular interest in using state-of-the-art emerging technologies for inspection, assessment, and management of civil infrastructures…”
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Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications by Hoeser, Thorsten, Bachofer, Felix, Kuenzer, Claudia

“…In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by investigating aggregated classes. The increase in data with a very…”
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Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data by Liu, Qian, Sha, Dexuan, Liu, Wei, Houser, Paul, Zhang, Luyao, Hou, Ruizhi, Lan, Hai, Flynn, Colin, Lu, Mingyue, Hu, Tao, Yang, Chaowei

“…The sudden outbreak of the COVID-19 pandemic has brought drastic changes to people’s daily lives, work, and the surrounding environment. Investigations into…”
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Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery by Veeranampalayam Sivakumar, Arun Narenthiran, Li, Jiating, Scott, Stephen, Psota, Eric, J. Jhala, Amit, Luck, Joe D., Shi, Yeyin

“…Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for…”
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Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation by Jafarzadeh, Hamid, Mahdianpari, Masoud, Gill, Eric, Mohammadimanesh, Fariba, Homayouni, Saeid

“…In recent years, several powerful machine learning (ML) algorithms have been developed for image classification, especially those based on ensemble learning…”
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The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service by Crosetto, Michele, Solari, Lorenzo, Mróz, Marek, Balasis-Levinsen, Joanna, Casagli, Nicola, Frei, Michaela, Oyen, Anneleen, Moldestad, Dag Anders, Bateson, Luke, Guerrieri, Luca, Comerci, Valerio, Andersen, Henrik Steen

“…This study is focused on wide-area deformation monitoring initiatives based on the differential interferometric SAR technique (DInSAR). In particular, it…”
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