ASPRS

PE&RS July 1998

VOLUME 64, NUMBER 7
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

Peer Reviewed Articles

709 Automatic Reconstruction of Road Centerlines from Mobile Mapping Image Sequences
Chuang Tao, Rongxing Li, and Michael A. Chapman

Abstract
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An automatic approach to road centerline reconstruction from stereo image sequences acquired by a mobile mapping system is introduced, The rood centerline reconstruction is treated as an inverse problem and solved by global optimization techniques. The centerlines are described by a physical curve model, which is composed of an abstract material and deforms according to external and internal forces applied. The external forces, generated from the centerline information extracted from the image sequences, controls the local characteristics of the model. The internal forces, arising from a priori knowledge of the road shape, contribute to the global shape of the model. Unique constraints that exist only in mobile mapping image sequences are utilized. The developed system has been used for processing a large number of mobile mapping image sequences. Road centerlines of the images under different conditions have been reconstructed successfully. The research results also make a contribution to the general field of structure from motion and stereo. 

717 Improving Landsat Scene Selection Systems
Kenneth McGwire

Abstract
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With the goal of periodic global coverage, Landsat 7 will create a wide variety of opportunities for the use of high-resolution data at regional and global scales. However significant improvements to the information systems for Landsat scene selection are necessary to support such wide-area applications. There may be significant phenological differences to be captured in such wide-area surveys, and trade-offs between image timing and quality must be considered on a scene-by-scene basis. Ancillary environmental information can be integrated into the scene selection to ensure the most phenologically consistent image acquisitions. Also, by defining a weighting function, users can substantially automate the scene selection process for extensive and complex compilations of Landsat scenes. 

723 Algorithms for the Detection of Sub-Pixel Targets in Multispectral Imagery
Edward A. Ashton and Alan Schaum

Abstract
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A new sub-pixel target detection algorithm is developed that integrates a linear mixing model (LMM) with the powerful "RX' anomaly detector of Reed and Yu (1990). RX applied to mixing model errors instead of to measured radiances, because they are more nearly multivariate Gaussian. The integrated method consistently outperforms spectral anomaly detectors that are based on either RX or an LMM alone. A novel method of image-based endmember selection is also presented, and a simple method of computing the fully constrained LMM residuals is described. 

733 Resource Management of Forested Wetlands: Hurricane Impact and Recovery Mapped by Combining Landsat TM and NOAA AVHRR Data
Elijah W. Ramsey III, Dal K. Chappell, Dennis Jacobs, Sijan K. Sapkota, and Dan G. Baldwin

Abstract
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A temporal suite of NOAA Advanced Very High Resolution Radiometer (AVHRR) images, transformed into a vegetation biomass indicator, was combined with a single-date classification of Landsat Thematic Mapper (TM) to map the association between forest type and hurricane effects. Hurricane effects to the forested wetland included an abrupt decrease and subsequent increase in biomass. The decrease was associated with hurricane impact and the increase with an abnormal bloom in vegetation in the impacted areas. Impact severity was estimated by differencing the biomass maps before and immediately (3 days) after the hurricane. Recovery magnitude was estimated by differencing the biomass maps from immediately (3 days) after and shortly (1.5 months) after the hurricane. Regions of dominantly hardwoods suffering high to moderate impacts and of dominantly cypress-tupelos suffering low impacts identified in this study corroborated findings of earlier studies. Conversely, areas not reported in previous studies as affected were identified, and these areas showed a reverse relationship, i.e., highly impacted cypress-tupelo and low or moderately impacted hardwoods. Additionally, generated proportions of hardwood, cypress-tupelo, and open (mixed) forests per each 1-km pixel (impact and recovery maps) suggest that regions containing higher percentages of cypress-tupelos were more likely to have sustained higher impacts. Visual examination of the impact map revealed a spatial covariation between increased impact magnitudes and river corridors dominated by open forest. This spatial association was corroborated by examining changes in the percentage of open forest per 1-km impact pixel; the percentage of open forest peaked at moderate to high impacts. The distribution of recovery supported the impact spatial distribution; however, the magnitudes of the two indicators of hurricane effects were not always spatially dependent. Converse to univariate statistics describing all forested area within the basin, higher recoveries tended to be related to higher percentages of hardwoods. Lower recoveries, on the other hand, tended to be related to forests with nearly equal percentages of hardwoods and cypress-tupelo.

739 Identifying the Effects of the Gulf War on the Geomorphic Features of Kuwait by Remote Sensing and GIS
Magaly Koch and Farouk El-Baz

Abstract
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Satellite images combined with landform/surface maps are used to identify and characterize changes in the desert surface of Kuwait resulting from military activities during and after the Gulf War of 1991. These changes are producing alterations to the surface sediment and morphological features that lead to environmental degradation. A geographic information system (GIS) is used to integrate and analyze multi-source and multi-scale data derived from satellite images, maps. and field observations. The GIS is used to identify, describe, and characterize changes occurring in the landform patterns, the nature and extent of land surface change, and their potential impacts on the environment. Postwar satellite images are correlated with prewar field maps, allowing identification of changes in surface sediment types and geomorphic units, focusing on areas showing changes in surface dynamics. Such areas are identified and classified in terms of alterations in the extent of surface sand (postwar sand encroachment) and the impact of oil pollution (formation of layers of tarcrete). The GIS analysis shows that 21.6 percent of Kuwait's area has been affected by the Gulf War, of which 4.4 percent is due to oil pollution and 17.2 percent is due to remobilized sand sheets. These results suggest that a reclassification of Kuwait's geomorphic features is needed to take into account these war-related surface changes.
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