Per-field classification: an example using SPOT HRV imagery

Abstract The classification of land cover on remotely sensed imagery is usually undertaken in a per-pixel format within an image file or in a per-field format within a non-image file. The latter is more accurate but does not produce an image output and is not readily input to a vector-based geographical information system. We propose setting the pixels in each field to a representative statistic for that field and then using a per-pixel classifier to perform a per-field classification in an image file. This procedure was evaluated using SPOT high resolution visible (HRV) imagery. The highest classification accuracy of 62.1 per cent (12 class) was achieved using measures of prior probabilities and image texture within the proposed per-field format.

[1]  G. H. Rosenfield,et al.  A coefficient of agreement as a measure of thematic classification accuracy. , 1986 .

[2]  David C. Hogg,et al.  The use of digital map data in the segmentation and classification of remotely-sensed images , 1988, Int. J. Geogr. Inf. Sci..

[3]  R. Congalton.  A Quantitative Method to Test for Consistency and Correctness in Photointerpretation , 1983 .

[4]  W. D. Hudson.  Evaluating Landsat classification accuracy from forest cover-type maps , 1987 .

[5]  David C. Mason,et al.  Segmentation of remotely-sensed images by a split-and-merge process+ , 1988 .

[6]  D. A. Landgrebe.  Machine Processing for Remotely Acquired Data , 1973 .

[7]  D. Toll,et al.  Detecting residential land use development at the urban fringe , 1982 .

[8]  Philip J. Howarth,et al.  Multispectral Classification of Land Use at the Rural-Urban Fringe Using Spot Data , 1988 .

[9]  David C. Hogg,et al.  Progress in automatic analysis of multi-temporal remotely-sensed data , 1989 .

[10]  John E. Freund,et al.  Modern Business Statistics , 1960 .

[11]  A. Strahler.  Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data , 1981 .

[12]  Jams L. Cushnie.  The interactive effect of spatial resolution and degree of internal variability within land-cover types on classification accuracies , 1987 .

[13]  Paul M. Mather,et al.  A computationally-efficient maximum-likelihood classifier employing prior probabilities for remotely-sensed data , 1985 .

[14]  Robert A. Schowengerdt,et al.  Techniques for image processing and classification in remote sensing , 1983 .

[15]  P. Curran.  The semivariogram in remote sensing: An introduction , 1988 .

[16]  H. Huizing,et al.  Automated Cartography and Electronic Geographic Information Systems , 1988 .

[17]  J. Townshend.  The spatial resolving power of earth resources satellites , 1980 .

[18]  N. Jewell.  An evaluation of multi-date SPOT data for agriculture and land use mapping in the United Kingdom , 1989 .

[19]  P. Curran,et al.  The accuracy of ground data used in remote-sensing investigations , 1985 .

[20]  M. Petrou,et al.  Progress In Automatic Analysis Of Multi-temporal Remotely-sensed Data , 1988, International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'..

[21]  David A. Landgrebe,et al.  The development of a spectral-spatial classifier for earth observational data , 1980, Pattern Recognit..

[22]  R. Kettig,et al.  Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects , 1976, IEEE Transactions on Geoscience Electronics.

[23]  Mark Sondheim,et al.  Methods for Improving Accuracy of Thematic Mapper Ground Cover Classifications , 1988 .

[24]  Alan H. Strahler,et al.  The Use of Prior Probabilities in Maximum Likelihood Classification , 1980 .

[25]  D. Peddle,et al.  Spectral texture for improved class discrimination in complex terrain , 1989 .

[26]  Ray Harris,et al.  Spectral and spatial image processing for remote sensing , 1980 .

[27]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[28]  R. Nelson,et al.  Classifying northern forests using Thematic Mapper Simulator data , 1984 .

[29]  Darrel L. Williams,et al.  The effects of spatial resolution on the classification of Thematic Mapper data , 1985 .

[30]  King-Sun Fu,et al.  A syntactic approach to texture analysis , 1978 .

[31]  M. Pedley,et al.  Airborne MSS for land cover classification II , 1988 .