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As the spatial resolution improvement in remotely sensed imagery, more detail spatial information of mangrove forest can be shown.It is important to find a method, which can effectively use the spatia...
Nowadays object oriented image analysis becomes a hot issue in the field of image processing and interpretation because of its more robust noise removing ability, more abundant image features and expe...
Information on the structural complexity of forest stands is required to inform conservation priorities that guide the sustainable management of private native vegetation for multiple objectives of l...
The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of remotely sensed image based on this principle. The targ...
In this paper, we propose a new algorithm for remotely sensed image texture classification and segmentation. We observe that the traditional method least square error (LSE) is unstable in practical ap...
We propose a new algorithm for remotely sensed image texture classification and segmentation in this paper. We observe that the traditional method LSE is unstable in practical applications. This motiv...
A New Algorithm for Remotely Sensed Image Texture. Classification and Segmentation.

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