We suggest a novel approach to the Color Constancy Problem for multispectral imagery. Our approach is based on a dichromatic illumination model and lters out all spectral information which possibly stems from the illumination rather than from the re ectance of a given surface. Instead of recovering the re ectance signal, the suggested mapping produces a new only surface re ectance-dependent des...

1 This work was sponsored by the U.S. National Imagery and Mapping Agency, under Air Force Contract F19628-95-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and not necessarily endorsed by the U.S. Air Force Abstract – We present work on methods and user interfaces developed for interactive mining for Feature Foundation Data (e.g. roads, rivers, orc...

Airborne multispectral digital video imagery was evaluated as tool for surveying kaolin-treated cotton (Gossypium hirsutum L.) plots, with emphasis on decision support. Images of experimental plots were obtained on 12 June 2002 and 16 June 2004 with an electronic digital video imaging system acquiring blue (447–455 nm), green (555–565 nm), red (625–635 nm), near-infrared (814–826 nm), and mid-i...

Machine learning is frequently combined with imagery acquired from uncrewed aircraft systems (UASs) to detect invasive plants. Having prior knowledge of which machine algorithm will produce the most accurate results difficult. This study examines efficacy a voting-based ensemble classifier identify Phragmites australis three-band (red, green, blue; RGB) and five-band blue, red edge, near-infrar...

The Advanced Land Imager (ALI) is a multispectral sensor onboard the National Aeronautics and Space Administration Earth Observing 1 (EO-1) satellite. It has similar spatial resolution to Landsat-7 Enhanced Thematic Mapper Plus (ETM+), with three additional spectral bands. We developed new algorithms for estimating both land surface broadband albedo and leaf area index (LAI) from ALI data. A re...

In this paper we describe an approach to automatically estimate movements of vehicles in optical satellite imagery. The approach takes advantage of the fact that the optical axes of the panchromatic and multispectral channels of current spaceborne systems like IKONOS or Quickbird are not coinciding. The time gap that appears between the acquisition of the panchromatic and multispectral data can...

This paper describes a method for propagation-based spacial interpolation of missing color information on satellite images. Most of the land-observation satellites produce two types of imagery for every scene multispectral and panchromatic. The first kind is characterized by lower spatial resolution but higher spectral one, while the second is a graylevel image at higher resolution. In order to...

Remote sensing techniques are routinely used in plant species discrimination and of weed mapping. In the presented work, successful Silybum marianum detection and mapping using multilayer neural networks is demonstrated. A multispectral camera (green-red-near infrared) attached on a fixed wing unmanned aerial vehicle (UAV) was utilized for the acquisition of high-resolution images (0.1 m resolu...

In the present study, the detection and mapping of Silybum marianum (L.) Gaertn. weed using novelty detection classifiers is reported. A multispectral camera (green-red-NIR) on board a fixed wing unmanned aerial vehicle (UAV) was employed for obtaining high-resolution images. Four novelty detection classifiers were used to identify S. marianum between other vegetation in a field. The classifier...

An end-member selection method for spectral unmixing that is based on Particle Swarm Optimization (PSO) is developed in this paper. The algorithm uses the K-means clustering algorithm and a method of dynamic selection of end-members subsets to find the appropriate set of end-members for a given set of multispectral images. The proposed algorithm has been successfully applied to test image sets ...