Effect of Sensitivity Improvement of Visible to NIR Digital Cameras on NDVI Measurements in Particular for Agricultural Field Monitoring

Abstract

 Effect of sensitivity improvement of Near Infrared: NIR digital cameras on Normalized Difference Vegetation Index: NDVI measurements in particular for agricultural field monitoring is clarified. Comparative study is conducted between sensitivity improved visible to near infrared camera of CuInGaSe: CIGS and the conventional camera. Signal to Noise: S/N ratio and sensitivity are evaluated with NIR camera data which are acquired in tea farm areas and rice paddy fields. From the experimental results, it is found that S/N ratio of the conventional digital camera with NIR wavelength coverage is better than CIGS utilized image sensor while the sensitivity of the CIGS image sensor is much superior to that of the conventional camera. Also, it is found that NDVI derived from the CIGS image sensor is much better than that from the conventional camera due to the fact that the sensitivity of the CIGS image sensor in red color wavelength region is much better than that of the conventional camera.

Authors and Affiliations

Kohei Arai, Takuji Maekawa, Toshihisa Maeda, Hiroshi Sekiguchi, Noriyuki Masago

Keywords

Related Articles

 Solving the Resource Constrained Project Scheduling Problem to Minimize the Financial Failure Risk

 In practice, a project usually involves cash in- and out-flows associated with each activity. This paper aims to minimize the payment failure risk during the project execution for the resource-constrained project s...

Multi-modal Person Localization And Emergency Detection Using The Kinect

Person localization is of paramount importance in an ambient intelligence environment since it is the first step towards context-awareness. In this work, we present the development of a novel system for multi-modal perso...

 A Minimal Spiking Neural Network to Rapidly Train and Classify Handwritten Digits in Binary and 10-Digit Tasks

 This paper reports the results of experiments to develop a minimal neural network for pattern classification. The network uses biologically plausible neural and learning mechanisms and is applied to a subset of the...

 Defending Grey Attacks by Exploiting Wavelet Analysis in Collaborative Filtering Recommender Systems

 “Shilling” attacks or “profile injection” attacks have always major challenges in collaborative filtering recommender systems (CFRSs). Many efforts have been devoted to improve collaborative filtering techniques wh...

Identification Filtering with fuzzy estimations

A digital identification filter interacts with an output reference model signal known as a black-box output system. The identification technique commonly needs the transition and gain matrixes. Both estimation cases are...

Download PDF file
  • EP ID EP90333
  • DOI 10.14569/IJARAI.2015.041201
  • Views 126
  • Downloads 0

How To Cite

Kohei Arai, Takuji Maekawa, Toshihisa Maeda, Hiroshi Sekiguchi, Noriyuki Masago (2015).  Effect of Sensitivity Improvement of Visible to NIR Digital Cameras on NDVI Measurements in Particular for Agricultural Field Monitoring. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(12), 1-8. https://europub.co.uk/articles/-A-90333