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A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models

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Organization
Abstract
Soft classification techniques avoid the loss of information characteristic to hard classification techniques when handling mixed pixels. Sub-pixel mapping is a method incorporating benefits of both hard and soft classification techniques. In this paper an algorithm is developed based on sub-pixel/pixel attractions. The design of the algorithm is accomplished using artificial imagery but testing is done on artificial as well as real synthetic imagery. The algorithm is evaluated both visually and quantitatively using established classification accuracy indices. The resulting images show increased accuracy when compared to hardened soft classifications.
Keywords
ARSIS CONCEPT, HOPFIELD NEURAL-NETWORK, IMAGE FUSION, CLASSIFICATION, IMPLEMENTATION

Citation

Please use this url to cite or link to this publication:

MLA
Mertens, Koen C, Bernard De Baets, Lieven Verbeke, et al. “A Sub-pixel Mapping Algorithm Based on Sub-pixel/pixel Spatial Attraction Models.” INTERNATIONAL JOURNAL OF REMOTE SENSING 27.15 (2006): 3293–3310. Print.
APA
Mertens, K. C., De Baets, B., Verbeke, L., & De Wulf, R. (2006). A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models. INTERNATIONAL JOURNAL OF REMOTE SENSING, 27(15), 3293–3310.
Chicago author-date
Mertens, Koen C, Bernard De Baets, Lieven Verbeke, and Robert De Wulf. 2006. “A Sub-pixel Mapping Algorithm Based on Sub-pixel/pixel Spatial Attraction Models.” International Journal of Remote Sensing 27 (15): 3293–3310.
Chicago author-date (all authors)
Mertens, Koen C, Bernard De Baets, Lieven Verbeke, and Robert De Wulf. 2006. “A Sub-pixel Mapping Algorithm Based on Sub-pixel/pixel Spatial Attraction Models.” International Journal of Remote Sensing 27 (15): 3293–3310.
Vancouver
1.
Mertens KC, De Baets B, Verbeke L, De Wulf R. A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models. INTERNATIONAL JOURNAL OF REMOTE SENSING. 2006;27(15):3293–310.
IEEE
[1]
K. C. Mertens, B. De Baets, L. Verbeke, and R. De Wulf, “A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models,” INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 27, no. 15, pp. 3293–3310, 2006.
@article{362864,
  abstract     = {Soft classification techniques avoid the loss of information characteristic to hard classification techniques when handling mixed pixels. Sub-pixel mapping is a method incorporating benefits of both hard and soft classification techniques. In this paper an algorithm is developed based on sub-pixel/pixel attractions. The design of the algorithm is accomplished using artificial imagery but testing is done on artificial as well as real synthetic imagery. The algorithm is evaluated both visually and quantitatively using established classification accuracy indices. The resulting images show increased accuracy when compared to hardened soft classifications.},
  author       = {Mertens, Koen C and De Baets, Bernard and Verbeke, Lieven and De Wulf, Robert},
  issn         = {0143-1161},
  journal      = {INTERNATIONAL JOURNAL OF REMOTE SENSING},
  keywords     = {ARSIS CONCEPT,HOPFIELD NEURAL-NETWORK,IMAGE FUSION,CLASSIFICATION,IMPLEMENTATION},
  language     = {eng},
  number       = {15},
  pages        = {3293--3310},
  title        = {A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models},
  url          = {http://dx.doi.org/10.1080/01431160500497127},
  volume       = {27},
  year         = {2006},
}

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