Optimal approach for segmentation of high-resolution remote sensing imagery and its applications in coastal area

Jianyu Chen; Zhihua Mao; Delu Pan

doi:10.1117/12.799362

10 October 2008 Optimal approach for segmentation of high-resolution remote sensing imagery and its applications in coastal area

Jianyu Chen, Zhihua Mao, Delu Pan

Author Affiliations +

Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 710912 (2008) https://doi.org/10.1117/12.799362
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

The multiscale analysis method is considered as an effective way to study the remotely sensed imageries of such complex landscape system. In order to overcome the shortcoming in applications of multiresolution segmentation, a four-step approach has been brought forward for homogeneous image-object detection. This is helpful to determinate the various optimal scales for diverse ground-objects in image segmentation and the potential meaningful image-objects fitting the intrinsic scale of the dominant landscape objects. Coastal landscape is complex system composed of a large number of heterogeneous components and some of them exhibit in homogenous areas. Satisfactory results were obtained in its applications in high-resolution remote sensing imageries on anthropo-directed area. The IODA result of man-made ground object is better than nature landscape because most man-made grounds objects have evident border. If the resolution of remotely sensed imagery is high enough to display object frontier then the image-objects detection results reveal perfect in MDF object candidates.

Citation Download Citation

Jianyu Chen, Zhihua Mao, and Delu Pan "Optimal approach for segmentation of high-resolution remote sensing imagery and its applications in coastal area", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 710912 (10 October 2008); https://doi.org/10.1117/12.799362

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