In this article, two methods for data collection in urban environments are presented. The first method combines multispectral imagery and laser altimeter data in an integrated classification for the extraction of buildings, trees and grass-covered areas. The second approach uses laser data and 2D ground plan information to obtain 3D reconstructions of buildings. q 1999 Elsevier Science B.V. All...

The statistical techniques of multivariate alteration detection, maximum autocorrelation factor transformation, expectation maximization, fuzzy maximum likelihood estimation and probabilistic label relaxation are combined in a unified scheme to classify changes in multispectral satellite data. An example involving bitemporal LANDSAT TM imagery is given.

Thomason, J. F., and Iverson, N. R., 2006. Microfabric and microshear evolution in deformed till. Quaternary Science Reviews, 25, 1027–1038. Thomason, J. F., and Iverson, N. R., 2008. A laboratory study of particle ploughing and pore-pressure feedback: a velocityweakening mechanism for soft glacier beds. Journal of Glaciology, 54, 169–181. Thomason, J. F., and Iverson, N. R., 2009. Deformation ...

Most multispectral remote sensors (e.g. QuickBird, IKONOS, and Landsat 7 ETM+) provide low-spatial high-spectral resolution multispectral (MS) or high-spatial low-spectral resolution panchromatic (PAN) images, separately. In order to reconstruct a high-spatial/high-spectral resolution multispectral image volume, either the information in MS and PAN images are fused (i.e. pansharpening) or super...

Reedbeds across the UK are amongst the most important habitats for rare and endangered birds, wildlife and organisms. However, over the past century, this valued wetland habitat has experienced a drastic reduction in quality and spatial coverage due to pressures from human related activities. To this end, conservation organisations across the UK have been charged with the task of conserving and...

A new feature-level fusion is presented for modelling individual trees by applying watershed segmentation and subsequent classification, using tree heights and tree crown signatures derived from light detection and ranging (lidar) data and multispectral imagery. The study area is part of the Moira State Forest, New South Wales, Australia where the dominant tree species are native eucalypts. In ...

High resolution panchromatic imagery can be used to increase the spatial resolution of low resolution spectral imagery through spatial/spectral sharpening techniques. Recently, sharpening techniques have been presented that use a multiresolution analysis by manipulating the images at different resolution scales that use a Laplacian pyramid or wavelet transform. This paper presents a model for s...

Volkman, Sarah, "Quickbird satellite imagery for riparian management : characterizing riparian filter strips and detecting concentrated flow in an agricultural watershed ", Master's Thesis, Date _________________________________________ iii ABSTRACT Riparian ecology plays an important part in the filtration of sediments from upland agricultural lands. The focus of this work makes use of multisp...

In this paper, proposes an efficient method for change detection in forest areas using panchromatic stereo imagery and Multispectral imagery using kernel minimum noise fraction analysis. Due to low spectral information it is difficult to extract the change features, since changes mostly occur together with other unrelated changes such as environmental changes and seasonal changes. Hence the ker...

There has been significant research on pan-sharpening multispectral imagery with a high resolution image, but there has been little work extending the procedure to high dimensional hyperspectral imagery. We present a wavelet-based variational method for fusing a high resolution image and a hyperspectral image with an arbitrary number of bands. To ensure that the fused image can be used for task...