Integrating Object Boundary in Super-Resolution Land-Cover Mapping
Integrating Object Boundary in Super-Resolution Land-Cover Mapping
复制标题
在超分辨率土地覆盖绘图中整合对象边界
DOI：
10.1109/jstars.2016.2533571
复制
发表时间：
2017
影响因子：
5.5
通讯作者：
Yuanxin Jia
中科院分区：
文献类型：
--
作者：
Yuehong Chen;Ge Yong;Yuanxin Jia
This paper proposes a novel class allocation strategy in units of object (UOO) for soft-then-hard super-resolution mapping (STHSRM). STHSRM involves two processes: 1) subpixel sharpening and 2) class allocation. The UOO is implemented in the second process by integrating the object boundaries as an additional structural constraint. First, UOO obtains the object boundaries from remote-sensing images by image segmentation. The number of subpixels within an object is then calculated for each class to meet the coherence constraint of fractional images imposed by soft classification. Finally, a linear optimization model is built for each object to obtain the optimal hard class labels of subpixels. A synthetic image and two real remote-sensing images are used to evaluate the effectiveness of UOO. The results are compared visually and quantitatively with two existing class allocation methods: 1) the highest attribute values first (HAVF) and 2) units of class (UOC). The experimental results show that UOO performs better than these two methods. UOO can better reduce the salt and pepper effect in resultant maps than both HAVF and UOC when dealing with real remote-sensing images. Moreover, UOO can better maintain the structure of land-cover patches, with smoother boundaries as compared with the two methods.
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影响因子：
2.3
作者：
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通讯作者：
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影响因子：
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影响因子：
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作者：
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DOI：
10.1109/36.917895
发表时间：
2001-04
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
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通讯作者：
A. Tatem;H. Lewis;P. Atkinson;M. Nixon
影响因子：
13.5
作者：
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