The Interrelationship Between Resampling Method And Information Extraction Technique

Atkinson, P.

doi:10.1109/igarss.1988.570190

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…However, classifications of images resampled by the nearest neighbour method did not improve the classification of edge pixels to any great degree and seemed to result in more within-field pixels being misclassified, mostly because within-field variations were not smoothed out. The complex problems of mixel classifications and resampling (Atkinson 1988) will be the subject of continuing experiments with the Cambridgeshire data. In fenland, cereals and oilseed rape constituted 51 per cent of the total arable land, the remainder representing a very wide variety of vegetables.…”

Section: Classification Accuracymentioning

confidence: 99%

Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational use

Fuller

Parsell

1990

International Journal of Remote Sensing

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Thematic Mapper (TM) data were tested in a classification of general land use, but especially semi-natural habitats, in an intensively-farmed area of lowland Britain. The range of classes which could be identified, and the accuracy of the classifications which were much enhanced by the use of multitemporal (summer and autumn) data. Results were assessed by comparisons with census statistics, by scoring classifications field-by-field, and by comparing the c1assmap, pixel-by-pixel, with check-maps. In the cereal farming areas which make up most of the arable lowlands of Britain, TM classifications can provide accurate cover and distribution data, at the scale of the individual field, for most major land uses. No other method could realistically do this. With some caution, such methods might be adopted for routine operational use.

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Section: Classification Accuracymentioning

confidence: 99%

Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational use

Fuller

Parsell

1990

International Journal of Remote Sensing

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Segmentation and symbolic description for a classification of agricultural areas with multispectral scanner data

Meyer

1992

IEEE Trans. Geosci. Remote Sensing

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Empirical Quality Assessment: Effect of Resampling on Geometric and Radiometric Data Quality Using a Regionbased Approach

Meyer

[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium

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Registration and geocoding of remote sensing data and ground truth is necessary in numerous applications. An often applied technique consists in a resampling procedure regardless of well known disadavantages. Here quantitative results are presented to show the influence of geometric transformation and radiometric interpolation on the data with emphasis on the influence on a single object. The study was carried out with data from a DAEDALUS AADS 1268 ATM airborne multispectral scanner. Test measurements are based on morphologic and internal descriptors. It can be shown, that even for the nearest neighbor algorithm, the changes of the radiometric properties of an object in such a dataset are not negligible. The geometric reliability does not seem to be satisfying, even for the case of a cubic convolution algorithm.

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The Interrelationship Between Resampling Method And Information Extraction Technique

Cited by 4 publications

References 3 publications

Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational use

Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational use

Segmentation and symbolic description for a classification of agricultural areas with multispectral scanner data

Empirical Quality Assessment: Effect of Resampling on Geometric and Radiometric Data Quality Using a Regionbased Approach

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