Aerial Photogrammetry Method for Water Quality Monitoring Using Digital Camera

San, Lim Hwee; Jafri, Mohd Zubir Mat; Abdullah, K.

doi:10.2174/1876325100903010020

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Based on the water reflection model, a linear relationship between water column radiation and water concentration is established [32] for water quality detection. Based on a similar principle, Thomas Leeuw et al [33] put forward an App called Hydro Color.…”

Section: Comparison Of Water Quality Detection Methods Based On Camermentioning

confidence: 99%

Chromaticity Measurement Based on the Image Method and Its Application in Water Quality Detection

Cao

Zhu

Zhao

et al. 2019

Water

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In order to measure the chromaticity of water and the content of dissolved matter more accurately, effectively, and cheaply, a chromaticity measurement system based on the image method was proposed and applied. The measurement system used the designed acquisition device and image processing software to obtain the Red-Green-Blue (RGB) values of the image and converted the color image from RGB color space to Hue-Saturation-Intensity (HSI) space to separate the chromaticity and brightness. According to the definition of chromaticity, the hue (H), saturation (S) values, and chromaticity of standard chromaticity solution images were fitted by a non-linear surface, and a three-dimensional chromaticity measurement model was established based on the H and S values of water images. For the measurement of a standard chromaticity solution, the proposed method has higher accuracy than spectrophotometry. For actual water sample measurements, there is no significant difference between the results of this method and the spectrophotometer method, which verified the validity of the method. In addition, the system was tried to measure the concentration of ammonia nitrogen, phosphate, and chloride in water with satisfactory results.

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Section: Comparison Of Water Quality Detection Methods Based On Camermentioning

confidence: 99%

Chromaticity Measurement Based on the Image Method and Its Application in Water Quality Detection

Cao

Zhu

Zhao

et al. 2019

Water

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“…The area has a warm, humid climate. The temperature ranges from 25 °C (night time) to 33 °C (day time) [13,14]. The average annual relative humidity varies between 70% and 90%.…”

Section: The Study Areamentioning

confidence: 99%

A feed-forward Hopfield neural network algorithm (FHNNA) with a colour satellite image for water quality mapping

Kzar

Jafri

San

et al. 2016

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. There are many techniques that have been given for water quality problem, but the remote sensing techniques have proven their success, especially when the artificial neural networks are used as mathematical models with these techniques. Hopfield neural network is one type of artificial neural networks which is common, fast, simple, and efficient, but it when it deals with images that have more than two colours such as remote sensing images. This work has attempted to solve this problem via modifying the network that deals with colour remote sensing images for water quality mapping. A Feed-forward Hopfield Neural Network Algorithm (FHNNA) was modified and used with a satellite colour image from type of Thailand earth observation system (THEOS) for TSS mapping in the Penang strait, Malaysia, through the classification of TSS concentrations. The new algorithm is based essentially on three modifications: using HNN as feed-forward network, considering the weights of bitplanes, and non-self-architecture or zero diagonal of weight matrix, in addition, it depends on a validation data. The achieved map was colour-coded for visual interpretation. The efficiency of the new algorithm has found out by the higher correlation coefficient (R=0.979) and the lower root mean square error (RMSE=4.301) between the validation data that were divided into two groups. One used for the algorithm and the other used for validating the results. The comparison was with the minimum distance classifier. Therefore, TSS mapping of polluted water in Penang strait, Malaysia, can be performed using FHNNA with remote sensing technique (THEOS). It is a new and useful application of HNN, so it is a new model with remote sensing techniques for water quality mapping which is considered important environmental problem.

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Modified Hopfield Neural Network Algorithm (MHNNA) for TSS mapping in Penang strait, Malaysia

Kzar

MatJafri

Lim

et al. 2013

2013 IEEE International Conference on Signal and Image Processing Applications

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Aerial Photogrammetry Method for Water Quality Monitoring Using Digital Camera

Cited by 3 publications

References 11 publications

Chromaticity Measurement Based on the Image Method and Its Application in Water Quality Detection

Chromaticity Measurement Based on the Image Method and Its Application in Water Quality Detection

A feed-forward Hopfield neural network algorithm (FHNNA) with a colour satellite image for water quality mapping

Modified Hopfield Neural Network Algorithm (MHNNA) for TSS mapping in Penang strait, Malaysia

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