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As a kind of common digital signal processing methods, mathematical morphology filter (MMF) has been employed to process the one dimensional sampled signals. However, because of the heavy time-consumption, it is difficult to use this method in data acquisition and processing system. Therefore, an improved MMF is proposed in this study on the basis of MMF and the process of data updating during one...
In this paper, a framework based on fine resolution thematic map, namely, interpolation then classification (ITC) is proposed. Firstly interpolation algorithm is applied in the original coarse hyperspectral imagery to derive a high-resolution imagery with generous prior information. Then fine resolution thematic map is derived from the high-resolution imagery by the available classification methods...
In this paper, a sub-pixel mapping (SPM) method based on super-resolution then spectral unmixing (SRTSUSPM) is proposed. In the proposed framework, firstly projection onto convex set (POCS) model with the endmembers of interest is applied to original imagery to obtain a high-resolution imagery; then the fraction images are derived from the high-resolution imagery by linear spectral mixture analysis...
There is a type of algorithm for subpixel mapping (SPM), namely, the soft-then-hard SPM (STHSPM) algorithm that first estimates soft attribute values for land cover classes at the subpixel scale level and then allocates classes (i.e., hard attribute values) for subpixels according to the soft attribute values. This paper presents a novel class allocation approach for STHSPM algorithms, which allocates...
In this paper, a new sub-pixel mapping algorithm is proposed based on sub-pixel/sub-pixel spatial attraction model (SSSAM). Different from the original sub-pixel/pixel spatial attraction model (SPSAM), the SSSAM considers the spatial distribution of each sub-pixel within neighbor pixels, when calculating the spatial attractions for sub-pixels within the centre pixel. Then the attractions are used...
A new method based on fourth-order cumulant for the joint estimation of the range and DOA of spatial near-field sources is presented. The proposed method adopts the non-centro-symmetric array, and constructs three cumulant matrixes using received array data; the aperture loss is effectively avoided. The method estimates the DOA and range parameters by the tripartite relationships among subspace matrixes,...
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