Journal ArticleDOI
Detection of environmental hazards through the feature-based fusion of optical and SAR data: a case study in southern Italy
Angela Errico,Cesario Vincenzo Angelino,Luca Cicala,G. Persechino,C. Ferrara,Massimiliano Lega,Andrea Vallario,Claudio Parente,Giuseppe Masi,Raffaele Gaetano,Giuseppe Scarpa,Donato Amitrano,Giuseppe Ruello,Luisa Verdoliva,Giovanni Poggi +14 more
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TLDR
A fast and easy-to-use system has been realized based on a new workflow for the detection of potentially hazardous cattle-breeding facilities, exploiting both synthetic aperture radar and optical multitemporal data together with geospatial analyses in the geographic information system environment.Abstract:
The use of remote-sensing images is becoming common practice in the fight against environmental crimes. However, the challenge of exploiting the complementary information provided by radar and optical data, and by more conventional sources encoded in geographic information systems, is still open. In this work, we propose a new workflow for the detection of potentially hazardous cattle-breeding facilities, exploiting both synthetic aperture radar and optical multitemporal data together with geospatial analyses in the geographic information system environment. The data fusion is performed at a feature-based level. Experiments on data available for the area of Caserta, in southern Italy, show that the proposed technique provides very high detection capability, up to 95%, with a very low false alarm rate. A fast and easy-to-use system has been realized based on this approach, which is a useful tool in the hand of agencies engaged in the protection of territory.read more
Citations
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Journal ArticleDOI
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data
TL;DR: This work proposes to estimate missing optical features through data fusion and deep-learning, and results are very promising, showing a significant gain over baseline methods according to all performance indicators.
Journal ArticleDOI
Quantitative analysis of the dynamic changes of ecological security in the provinces of China through emergy-ecological footprint hybrid indicators
Qing Yang,Gengyuan Liu,Gengyuan Liu,Yan Hao,Luca Coscieme,Jiaqi Zhang,Nannan Jiang,Marco Casazza,Biagio F. Giannetti +8 more
TL;DR: Zhang et al. as mentioned in this paper established a framework on historical evaluation and future projection of ecological security in China and applied it to China's provincial ecological security evaluation during 2006-2015.
Journal ArticleDOI
Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes
TL;DR: This work proposes the use of Multi-Output Gaussian Process (MOGP) regression, a machine learning technique that learns automatically the statistical relationships among multisensor time series, to detect vegetated areas over which the synergy between SAR-optical imageries is profitable, and demonstrates the advantage of MOGP especially for long data gaps.
Journal ArticleDOI
Swarm coordination of mini-UAVs for target search using imperfect sensors
Antonio L. Alfeo,Mario G. C. A. Cimino,Nicoletta De Francesco,Alessandro Lazzeri,Massimiliano Lega,Gigliola Vaglini +5 more
TL;DR: The design of the novel swarming algorithm is reported on, reviewing different strategies and measuring their performance on a number of synthetic and real-world scenarios.
Journal ArticleDOI
Medium-to-long-term coupled strategies for energy efficiency and greenhouse gas emissions reduction in Beijing (China)
Dongyu Zhang,Gengyuan Liu,Gengyuan Liu,Caocao Chen,Yan Zhang,Yan Zhang,Yan Hao,Yan Hao,Marco Casazza +8 more
TL;DR: Li et al. as discussed by the authors analyzed the situations of socio-economic development and energy consumption in Beijing and established LEAP-Beijing model for the medium-to-longterm prediction of GHG emissions.
References
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