Abstract
Original language | English |
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Title of host publication | Electronic imaging |
Subtitle of host publication | processing, printing, and publishing in color : 18-20 May 1998, Zurich, Switzerland |
Editors | Jan Bareš |
Place of Publication | Bellingham, WA |
Publisher | SPIE |
Pages | 368-376 |
Number of pages | 9 |
ISBN (Print) | 9780819428615 |
DOIs | |
Publication status | Published - 1998 |
Event | SYBEN-Broadband European Networks and Electronic Image Capture and Publishing 1998 - Zurich, Switzerland Duration: 18 May 1998 → 22 May 1998 |
Publication series
Name | Proceedings of SPIE |
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Publisher | SPIE |
Volume | 3409 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | SYBEN-Broadband European Networks and Electronic Image Capture and Publishing 1998 |
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Country | Switzerland |
City | Zurich |
Period | 18/05/98 → 22/05/98 |
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Keywords
- METIS-112569
Cite this
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Implementation of a Segmentation Method for Agricultural Fields in Aerial Sequences of Images Based on CSAR Model. / Chen, H.; Houkes, Z.
Electronic imaging: processing, printing, and publishing in color : 18-20 May 1998, Zurich, Switzerland. ed. / Jan Bareš. Bellingham, WA : SPIE, 1998. p. 368-376 (Proceedings of SPIE; Vol. 3409).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
TY - CHAP
T1 - Implementation of a Segmentation Method for Agricultural Fields in Aerial Sequences of Images Based on CSAR Model
AU - Chen, H.
AU - Houkes, Z.
PY - 1998
Y1 - 1998
N2 - In this paper, a segmentation method for agricultural fields in aerial sequences of images based on the Circular Symmetri Auto-Regressive (CSAR) model is presented. The image sequences assumed to be acquired by a video camera (RGB-CCD system) from an aeroplane, which moves linearly over the scene. The objects in the scenes being considered in this paper, are agricultural fields. The classes of agricultural fields to be distinguished are determined by the type of crop, e.g. potatoes sugar beet, wheat, etc. In order to recognize and classify these fields from aerial sequence of images, a reliable segmentatio is required. Here texture features are used for segmentation. The implementation of segmentation for agricultural fields in aerial sequences of images is based on CSAR model in texture analysis. By comparing the estimated parameters of CSAR model from different area in an image, the characteristics and the class of a texture may be determined. The paper describes the segmentation method and its evaluation through experiments. Based on segmentation results, classification for surface texture of vegetation from aerial sequences of images is realized.
AB - In this paper, a segmentation method for agricultural fields in aerial sequences of images based on the Circular Symmetri Auto-Regressive (CSAR) model is presented. The image sequences assumed to be acquired by a video camera (RGB-CCD system) from an aeroplane, which moves linearly over the scene. The objects in the scenes being considered in this paper, are agricultural fields. The classes of agricultural fields to be distinguished are determined by the type of crop, e.g. potatoes sugar beet, wheat, etc. In order to recognize and classify these fields from aerial sequence of images, a reliable segmentatio is required. Here texture features are used for segmentation. The implementation of segmentation for agricultural fields in aerial sequences of images is based on CSAR model in texture analysis. By comparing the estimated parameters of CSAR model from different area in an image, the characteristics and the class of a texture may be determined. The paper describes the segmentation method and its evaluation through experiments. Based on segmentation results, classification for surface texture of vegetation from aerial sequences of images is realized.
KW - METIS-112569
U2 - 10.1117/12.324129
DO - 10.1117/12.324129
M3 - Chapter
SN - 9780819428615
T3 - Proceedings of SPIE
SP - 368
EP - 376
BT - Electronic imaging
A2 - Bareš, Jan
PB - SPIE
CY - Bellingham, WA
ER -