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A Soft Computing Approach to Road Classification (2000)

Shanahan, J. ; Thomas, B. ; Mirmehdi, M. ; [et al.]

Springer

Journal of intelligent and robotic systems 29 (2000), S. 349-387

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ISSN: 1573-0409

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics

Notes: Abstract Current learning approaches to computer vision have mainly focussed on low-level image processing and object recognition, while tending to ignore high-level processing such as understanding. Here we propose an approach to object recognition that facilitates the transition from recognition to understanding. The proposed approach embraces the synergistic spirit of soft computing, exploiting the global search powers of genetic programming to determine fuzzy probabilistic models. It begins by segmenting the images into regions using standard image processing approaches, which are subsequently classified using a discovered fuzzy Cartesian granule feature classifier. Understanding is made possible through the transparent and succinct nature of the discovered models. The recognition of roads in images is taken as an illustrative problem in the vision domain. The discovered fuzzy models while providing high levels of accuracy (97%), also provide understanding of the problem domain through the transparency of the learnt models. The learning step in the proposed approach is compared with other techniques such as decision trees, naïve Bayes and neural networks using a variety of performance criteria such as accuracy, understandability and efficiency.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1008158907779

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Distribution and Variability of Surface Soil Properties at a Regional Scale (2000)

Brejda, John J. ; Moorman, Thomas B. ; Smith, Jeffrey L. ; [et al.]

Springer

Soil Science Society of America journal 64 (2000), S. 974-982

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ISSN: 1435-0661

Keywords: MBC, microbial biomass carbon MEP, Mehlich extractable phosphorus MLRA, Major Land Resource Areas MWD, mean-weight diameter NRCS, Natural Resources Conservation Service NRI, National Resource Inventory PMN, potentially mineralizable nitrogen PSU, primary sampling units TOC, total organic carbon WSA, water stable aggregates

Source: Springer Online Journal Archives 1860-2000

Topics: Geosciences , Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition

Notes: e transformation resulted in normal distributions for most soil properties and reduced variability two- to threefold. However, a few soil properties remained non-normally distributed. Soil pH may be monitored at the regional scale with a high degree of precision. Small changes in soil C content (3–8% of the regional mean) may be detected using loge transformed total organic C as the indicator. Sampling soil properties as part of the NRI should improve NRCS' ability to monitor soil condition on a regional scale.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/

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