For the years 1997 to 2000 it is expected that a number of new satellites will be launched into orbit by private companies which are speciied to deliver panchromatic imagery of the earth surface with a spatial resolution as ne as 1 m. In contrast to the panchromatic band, the spectrally resolved bands will have a four times coarser ground resolution. Therefore, image fusion algorithms will cert...

Remote sensing systems designed to monitor the surface environment employ a multispectral design such as parallel sensor arrays thereby detecting radiation in a small number of broad wavelength bands in order to provide increased spectral discrimination. These broad-band multispectral systems allow discrimination of different types of vegetation, rocks and soils, clear and turbid water, and som...

1. Abstract Multispectral sensors are increasingly being employed in military applications. Just as in satellite imagery of the earth, multispectral data is required in order to extract the maximum amount of information from a scene. The advantages of image fusion have been postulated for navigation, surveillance, fire control, and missile guidance to improve accuracy and contribute to mission ...

Multispectral geospatial image sets retain the scene’s spatial and spectral information. To jointly use both of them for analysis purposes, we propose to extend the concept of wavelet packets, by introducing a new integrated multispectral entropy function. Each spectral band is individually decomposed by the wavelet packets transform, and then the entropy term is jointly guided by information f...

The suitability of optical IKONOS satellite data (multispectral and panchromatic) for the estimation of forest structural attributes – for example, stems per hectare (SPHA), diameter at breast height (DBH), mean tree height (MTH), basal area (BA) and volume in plantation forest environments – was assessed in this study. The relationships of these forest structural attributes to statistical imag...

Recent advances in remote sensed imagery and geospatial image processing using unmanned aerial vehicles (UAVs) have enabled the rapid and ongoing development of monitoring tools for crop management and the detection/surveillance of insect pests. This paper describes a (UAV) remote sensing-based methodology to increase the efficiency of existing surveillance practices (human inspectors and insec...

We process multispectral satellite imagery to load into our environmental database on the UCSC/ NPS/MBARI{ REINAS project. 1 We have developed methods for segmenting GOES (Geostationary Operational Environmental Satellite) images that take advantage of the multispectral data available. Our algorithm performs classiication of diierent types of clouds, as well as characterization of the cloud ele...

Most bamboo forests grow in humid climates in low-latitude tropical or subtropical monsoon areas, and they are generally located in hilly areas. Bamboo trunks are very straight and smooth, which means that bamboo forests have low structural diversity. These features are beneficial to synthetic aperture radar (SAR) microwave penetration and they provide special information in SAR imagery. Howeve...

We propose an information fusion method for the extraction of land-use information based on both the panchromatic and multispectral Indian Remote Sensing Satellite 1C (IRS-1C) satellite imagery. It integrates spectral, spatial and structural information existing in the image. A thematic map was first produced with a maximum-likelihood classification (MLC) applied to the multispectral imagery. P...