测绘通报 ›› 2016, Vol. 0 ›› Issue (8): 25-29.doi: 10.13474/j.cnki.11-2246.2016.0249
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LIU Ximei1, NIU Zhenguo2
Received:
2015-08-13
Online:
2016-08-25
Published:
2016-08-26
CLC Number:
LIU Ximei, NIU Zhenguo. Application of Pixel Swapping Algorithm in the Study of Rural Surface Super-resolution Mapping[J]. 测绘通报, 2016, 0(8): 25-29.
[1] 王群明. 遥感图像亚像元定位及相关技术研究[D]. 哈尔滨:哈尔滨工程大学, 2012. [2] 任武, 葛咏. 遥感影像亚像元制图方法研究进展综述[J]. 遥感技术与应用, 2011, 26(1):33-44. [3] ATKINSON P M. Mapping Sub-pixel Boundaries from Remotely Sensed Images[J]. Innovations in GIS, 1997, 4:166-180. [4] KASETKASEM T, ARORA M K, VARSHNEY P K. Super-resolution Land Cover Mapping Using a Markov Random Field Based Approach[J]. Remote Sensing of Environment, 2005, 96(3):302-314. [5] KASETKASEM T, ARORA M K, VARSHNEY P K.Sub-pixelland Cover Mapping Based on Markov Random Field Models[C]//Geoscience and Remote Sensing Symposium, 2003. IGARSS'03. Proceedings.[S.l.]:IEEE, 2003. [6] MERTENS K C, DE BAETS B, VERBEKE L P C, et al. A Sub-pixel Mapping Algorithm Based on Sub-pixel/pixel Spatial Attraction Models[J]. International Journal of Remote Sensing, 2006, 27(15):3293-3310. [7] TATEM A J, LEWIS H G, ATKINSON P M, et al. Super-resolution Target Identification from Remotely Sensed Images Using a Hopfield Neural Network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(4):781-796. [8] TATEM A J, LEWIS H G, ATKINSON P, et al. Land Cover Mapping at the Sub-pixel Scale Using a Hopfield Neural Network[C]//Proceedings of the 28th International Symposium on Remote Sensing of the Environment.Tuscon:[s.n.],2000. [9] ATKINSON P M. Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery[J]. Photogrammetric Engineering and Remote Sensing, 2005, 71(7):839. [10] 凌峰, 张秋文, 王乘, 等. 基于元胞自动机模型的遥感图像亚像元定位[J]. 中国图象图形学报, 2005, 10(7):916-921. [11] LING F, DU Y, XIAO F, et al. Subpixel Land Cover Mapping by Integrating Spectral and Spatial Information of Remotely Sensed Imagery[J]. Geoscience and Remote Sensing Letters,2012, 9(3):408-412. [12] MERTENS K C, VERBEKE L P C, WULF R R D. Sub-pixel Mapping with Neural Networks:Real-world Spatial Configurations Learned from Artificial Shapes[C]//Proceedings of 4th International Symposium on Remote Sensing of Urban Areas.Regensburg:[s.n.],2003. [13] ATKINSON P M. Super-resolution Land Cover Classification Using the Two-point Histogram[M].[S.l.]:Springer, 2004:15-28. [14] BOUCHER A, KYRIAKIDIS P C. Super-resolution Land Cover Mapping with Indicator Geostatistics[J]. Remote Sensing of Environment, 2006, 104(3):264-282. [15] 林皓波, 柏延臣, 王锦地, 等. 基于景观结构的遥感影像超分辨率制图[J]. 自然科学进展, 2009(10):12. [16] STEINWENDNER J, SCHNEIDER W, SUPPAN F. Vector Segmentation Using Multiband Spatial Subpixel Analysis for Object Extraction[J]. International Archives of Photogrammetry and Remote Sensing, 1998, 32:265-271. [17] WANG Q, WANG L, LIU D, et al. Sub-pixel Mapping for Land Class with Linear Features Using Least Square Support Vector Machine[J]. Infrared and Laser Engineering, 2012, 41(6):32-35. [18] MERTENS K C, DE BAETS B, VERBEKE L P C, et al. A Sub-pixel Mapping Algorithm Based on Sub-pixel/pixel Spatial Attraction Models[J]. International Journal of Remote Sensing, 2006, 27(15):3293-3310. [19] 张翔, 肖小玲. 基于最大熵估计的支持向量机概率建模[J]. 控制与决策, 2006, 21(7):767-770. [20] THORNTON M W, ATKINSON P M, HOLLAND D A. Sub-pixel Mapping of Rural Land Cover Objects from Fine Spatial Resolution Satellite Sensor Imagery Using Super-resolution Pixel-swapping[J]. International Journal of Remote Sensing, 2006, 27(3):473-491. [21] TOLPEKIN V A, STEIN A. Quantification of the Effects of Land-cover-class Spectral Separability on the Accuracy of Markov-random-field-based Super Resolution Mapping[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(9):3283-3297. [22] 黄艳妮. 基于LSMM的遥感估算方法在城市不透水面提取中的研究与应用[D]. 芜湖:安徽师范大学, 2012. |
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