Cyber Surveillance for Flood Disasters

Lo, Shi-Wei; Wu, Jianhua; Lin, Fei; Hsu, Charles Ching–Hsiang

doi:10.3390/s150202369

Cited by 55 publications

(35 citation statements)

References 50 publications

(32 reference statements)

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“…In [12] an accuracy of 87% is obtained using RGB information and six texture features (fixed) extracted from gray level co-occurrence matrix. Our method uses selected features (selected by a performance criterion at the beginning of the segmentation operation) on color channels (chromatic co-occurrence matrix and fractal type) and the accuracy was of 98.1%.…”

Section: Resultsmentioning

confidence: 99%

“…In order to detect the flood by image analysis, three solutions usually appear in the literature: (a) use of images from satellites [9,10,11]; (b) use of images from fixed cameras on the ground [4,12,13]; and (c) use of images from aircrafts or UAVs [14]. …”

Section: Introductionmentioning

confidence: 99%

“…An alternative approach for monitoring flood disasters is the system of fixed cameras proposed in [12] which is based on the dynamic detection of floods via intrusions of objects in the video frames. These objects are separated by segmentation from the rest in the image.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unmanned Aerial Vehicle Systems for Remote Estimation of Flooded Areas Based on Complex Image Processing

Popescu

Ichim

Stoican

2017

Sensors

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Floods are natural disasters which cause the most economic damage at the global level. Therefore, flood monitoring and damage estimation are very important for the population, authorities and insurance companies. The paper proposes an original solution, based on a hybrid network and complex image processing, to this problem. As first novelty, a multilevel system, with two components, terrestrial and aerial, was proposed and designed by the authors as support for image acquisition from a delimited region. The terrestrial component contains a Ground Control Station, as a coordinator at distance, which communicates via the internet with more Ground Data Terminals, as a fixed nodes network for data acquisition and communication. The aerial component contains mobile nodes—fixed wing type UAVs. In order to evaluate flood damage, two tasks must be accomplished by the network: area coverage and image processing. The second novelty of the paper consists of texture analysis in a deep neural network, taking into account new criteria for feature selection and patch classification. Color and spatial information extracted from chromatic co-occurrence matrix and mass fractal dimension were used as well. Finally, the experimental results in a real mission demonstrate the validity of the proposed methodologies and the performances of the algorithms.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Unmanned Aerial Vehicle Systems for Remote Estimation of Flooded Areas Based on Complex Image Processing

Popescu

Ichim

Stoican

2017

Sensors

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“…These emerging sensor networks have become more and more popular due to their ease of deployment, especially, mobile sensor networks, which include mobile nodes with sensing, communication capacity, and movement ability, are appealing for many applications, for instance, monitoring of animals living in the wild, tracking patients’ heart condition, etc. At the same time, the introduction of the mobile node can also broaden the sampling capacity in the network space [4,5,6,7,8,9], for example, mobile nodes are utilized as information collecting nodes to collect other static nodes’ data in applications [10]. Today mobile wireless sensor networks have been extensively applied in all kinds of applicable fields.…”

Section: Introductionmentioning

confidence: 99%

An Improved Mobility-Based Control Protocol for Tolerating Clone Failures in Wireless Sensor Networks

Zhou

Xiong

Tan

et al. 2016

Sensors

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Nowadays, with the ubiquitous presence of the Internet of Things industry, the application of emerging sensor networks has become a focus of public attention. Unattended sensor nodes can be comprised and cloned to destroy the network topology. This paper proposes a novel distributed protocol and management technique for the detection of mobile replicas to tolerate node failures. In our scheme, sensors’ location claims are forwarded to obtain samples only when the corresponding witnesses meet. Meanwhile, sequential tests of statistical hypotheses are applied to further detect the cloned node by witnesses. The combination of randomized detection based on encountering and sequential tests drastically reduces the routing overhead and false positive/negative rate for detection. Theoretical analysis and simulation results show the detection efficiency and reasonable overhead of the proposed method.

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“…Crossing of a threshold mark of 80 % of the cumulative frequency of this histogram would automatically trigger a flood alarm (Kugker and De Groeve 2007). While this research largely involves use of data obtained through satellite technology, the method proposed by Lo et al (2015) is an interesting alternative (Lo et al 2015) to the previous mentioned work. Building on surveillance systems and image processing methods, Lo et al present a system which acts as an intrusion detection device where a developing flood situation is deemed as a possible invasive object.…”

Section: Flood Detectionmentioning

confidence: 99%