This paper presents an overview of ongoing research on small unmanned autonomous vehicles (UAVs) for cooperative remote sensing for real-time water management and irrigation control. Small UAVs can carry embedded cameras with different wavelength bands, which are low-cost but have high spatial-resolution. These imagers mounted on UAVs can form a camera array to perform multispectral imaging wit...

In a previous work [J. Opt. Soc. Am. A24, 942 (2007)JOAOD60740-323210.1364/JOSAA.24.000942] we made a complete theoretical and computational study of the influence of several parameters on the behavior of a planned multispectral system for imaging skylight, including the number of sensors and the spectral estimation algorithm. Here we follow up this study by using all the information obtained i...

The design of a system for multispectral image capture will be influenced by the imaging application, such as image archiving, vision research, illuminant modification or improved (trichromatic) color reproduction. A key aspect of the system performance is the effect of noise, or error, when acquiring multiple color image records and processing of the data. This research provides an analysis th...

The segmentation method of multispectral human eye images suitable in ophthalmic diagnosis of structural retinal features characteristic for glaucoma and diabetic retinopathy diseases is presented. A multispectral imaging was realized in 21 spectral windows, between 400nm and 740nm, on a base of liquid crystal tunable filter and a high sensitivity monochrome camera. Results of supervised and un...

This paper presents a new evaluation method of the color estimation accuracy for a set of multispectral color sensors. In this method, the probability density distribution of the spectral reflectance is assumed, and then it yields the possible range of estimation error in the color space at a specified confidence level. It is shown that the error range in the color space is expressed as the ell...

We examine how multispectral imaging can be used to document and improve reading of ancient inscriptions. The research focuses on ostraca, texts written in ink on ceramic potsherds. Three corpora of Hebrew ostraca dating to the Iron Age II were imaged in visible and near infrared light using a state-ofthe-art commercial spectral imager. To assess the quality of images, we used a new quality eva...

This paper focuses on the implementation of the pansharpened image fusion technique proposed in the companion paper [A Nonlocal Variational Model for Pansharpening Image Fusion, SIAM Journal on Imaging Sciences, 2014, to appear]. Pansharpening refers to the process of inferring a high resolution multispectral image from a high resolution panchromatic image and low resolution multispectral one. ...

Purpose To develop a proof-of-concept, computational method for the quantification and classification of fundus images in intermediate age-related macular degeneration (AMD). Methods Multispectral, unsupervised pattern recognition was applied to 184 fundus images from 10 normal and 36 intermediate AMD eyes. The imaging results of preprocessed, grayscale images from three modalities (infrared,...

Under controlled illumination conditions, visual Face Recognition systems perform well for faces with low or no disguise [1]. Infrared (Thermal) Face Recognition provides an enticing alternative to Visible Face Recognition due to the relative insensitivity of IR imagery to illumination changes and disguise [2]. Image fusion is in fact a combination that extracts redundant and complementary info...

Camera images can be used to measure the geometry of man-made objects. An iterative weighted least-squares estimator with knowledge of imaging and reflection models retrieves the geometrical parameters of objects in a 3-D scene from 2-D image projections. We investigate the use of multispectral imagery which allows us to separate diffuse and specular reflection before estimating geometry. We bu...