Small UAV based multi-viewpoint image registration for monitoring cultivated land changes in mountainous terrain

International Journal of Remote Sensing

Volumn 39, Issue 21, 2018, Pages 7201-7224

  Song, Fei ^a   Li, Mengya ^a   Yang, Yang ^a   Yang, Kun ^a   Gao, Xueyan ^a   Dan, Tingting ^a  

^a YUNNAN NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; IMAGE REGISTRATION; LAND USE; LANDFORMS; MIXTURES;

DETERMINISTIC ANNEALING; FINITE MIXTURE MODELING; GEOMETRIC CONSTRAINT; MULTI-VIEWPOINT IMAGES; REGISTRATION METHODS; REPRODUCING KERNEL HILBERT SPACES; SMALL UNMANNED AERIAL VEHICLES; STATE-OF-THE-ART METHODS;

UNMANNED AERIAL VEHICLES (UAV);

CULTIVATION; IMAGE PROCESSING; LAND USE CHANGE; MOUNTAIN; OPTIMIZATION; TERRAIN; UNMANNED VEHICLE;

CHINA;

EID: 85056099425     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1516051     Document Type: Article

References (48)

1. Aredehey, G., A., Mezgebu, and A., Girma. 2018. “Land-Use Land-Cover Classification Analysis of Giba Catchment Using Hyper Temporal Modis Ndvi Satellite Images.” International Journal of Remote Sensing 39 (3): 810–821. doi:10.1080/01431161.2017.1392639
2. Aronszajn, N., 1950. “Theory of Reproducing Kernels. Trans Am Math Soc.” Transactions of the American Mathematical Society 68 (3): 337. doi:10.2307/1990404
3. Arowolo, A. O., and X., Deng. 2018. “Land Use/Land Cover Change and Statistical Modelling of Cultivated Land Change Drivers in Nigeria.” Regional Environmental Change 18 (1): 247–259. doi:10.1007/s10113-017-1186-5
4. Bay, H., A., Ess, T., Tuytelaars, and L., Van Gool. 2008. “Speeded-Up Robust Features.” Computer Vision and Image Understanding 110 (3): 404–417. doi:10.1016/j.cviu.2007.09.014
5. Bookstein, F. L., 2002. “Principal Warps: Thin-Plate Splines and the Decomposition of Deformations.” IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (6): 567–585. doi:10.1109/34.24792
6. Chen, Z., and S., Haykin. 2002. “On Different Facets of Regularization Theory.” Neural Computation 14 (12): 2791–2846. doi:10.1162/089976602760805296
7. Conese, C., G., Maracchi, F., Miglietta, F., Maselli, and V. M., Sacco. 1988. “Forest Classification by Principal Component Analyses of TM Data.” International Journal of Remote Sensing 9 (10–11): 1597–1612. doi:10.1080/01431168808954963
8. Dan, T., Y., Yang, L., Xing, K., Yang, Y., Zhang, S. H., Ong, F., Song, and X., Gao. 2018. “Multifeature Energy Optimization Framework and Parameter Adjustment-Based Nonrigid Point Set Registration.” Journal of Applied Remote Sensing 12 (3): 35006. doi:10.1117/1.JRS.12.035006
9. Greengard, L., and J., Strain. 1991. “The Fast Gauss Transform.” Siam Journal on Scientific and Statistical Computing 12 (1): 79–94. doi:10.1137/0912004
10. Groetsch, C. W., 1984. The Theory of Tikhonov Regularization for Fredholm Equations of the First Kind. Pitman Advanced Pub Program
11. Harris, C., 1988. “A Combined Corner and Edge Detector.” Proceedings Alvey Vision Conference 1988 (3): 147–151. doi:10.5244/C.2.23
12. Ji, S., and S., Peng. 2008. “Terminal Perturbation Method for the Backward Approach to Continuous Time Mean¨Cvariance Portfolio Selection.” Stochastic Processes and Their Applications 118 (6): 952–967. doi:10.1016/j.spa.2007.07.005
13. Kalantar, B., S., Mansor, A. A., Halin, and H., Shafri. 2016. “A SURF-based Approach for Automatic Ground Control Points Selection for UAV and LiDAR Images Registration.” IEEE Workshop on Geoscience and Remote Sensing. IEEE
14. Kato, T., S., Omachi, and H., Aso. 2002. Asymmetric Gaussian and Its Application to Pattern Recognition. Joint Iapr International Workshop on Structural, Syntactic, and Statistical Pattern Recognition (Vol.2396), 405–413. Springer-Verlag. doi:10.1007/3-540-70659-3_42
15. Lei, T., L., Li, G., Kan, Z., Zhang, T., Sun, X., Zhang, J., Ma, and S., Huang. 2016. “Automatic Registration of Unmanned Aerial Vehicle Remote Sensing Images Based on an Improved SIFT Algorithm.” Eighth International Conference on Digital Image Processing, 100333R. doi: 10.1117/12.2245126
16. Li, J., N., Lv, S., Zhou, W., Li, and W., Guo. 2015. “An Object-Oriented Extraction Method of Arable Land Information Based on A Combination of Watershed and Multi-Scale.” International Conference on Intelligent Earth Observing and Applications 9808: 98082X. doi:10.1117/12.2206190
17. Li, J., Q., Hu, M., Ai, and R., Zhong. 2017a. “Robust Feature Matching via Support-Line Voting and Affine-Invariant Ratios.” Isprs Journal of Photogrammetry and Remote Sensing 132: 61–76. doi:10.1016/j.isprsjprs.2017.08.009
18. Li, W., D., Wang, H., Li, and S., Liu. 2017b. “Urbanization-Induced Site Condition Changes of Peri-Urban Cultivated Land in the Black Soil Region of Northeast China.” Ecological Indicators 80: 215–223. doi:10.1016/j.ecolind.2017.05.038
19. Li, Y., J., Gong, D., Wang, L., An, and R., Li. 2013. “Sloping Farmland Identification Using Hierarchical Classification in the Xi-He Region of China.” International Journal of Remote Sensing 34 (2): 545–562. doi:10.1080/01431161.2012.715772
20. Lowe, D. G., 2004. “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision 60 (2): 91–110. doi:10.1023/B:VISI.0000029664.99615.94
21. Lu, H., X., Fu, C., Liu, L. G., Li, Y. X., He, and N. W., Li. 2017. “Cultivated Land Information Extraction in UAV Imagery Based on Deep Convolutional Neural Network and Transfer Learning.” Journal of Mountain Science 14 (4): 731–741. doi:10.1007/s11629-016-3950-2
22. Ma, J., J., Zhao, and A. L., Yuille. 2016. “Non-Rigid Point Set Registration by Preserving Global and Local Structures.” IEEE Transactions on Image Processing 25 (1): 53–64. doi:10.1109/TIP.2015.2467217
23. Ma, J., J., Zhao, J., Tian, A. L., Yuille, and Z., Tu. 2014a. “Robust Point Matching Via Vector Field Consensus.” IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society 23 (4): 1706–1721. doi:10.1109/TIP.2014.2307478
24. Ma, J., J., Zhao, J., Tian, X., Bai, and Z., Tu. 2013. “Regularized Vector Field Learning with Sparse Approximation for Mismatch Removal.” Pattern Recognition 46 (12): 3519–3532. doi:10.1016/j.patcog.2013.05.017
25. Ma, J., W., Qiu, J., Zhao, Y., Ma, A. L., Yuille, and Z., Tu. 2015. “Robust Estimation of Transformation for Non-Rigid Registration.” IEEE Transactions on Signal Processing 63 (5): 1115–1129. doi:10.1109/TSP.2014.2388434
26. Ma, L., L., Cheng, W., Han, L., Zhong, and M., Li. 2014b. “Cultivated Land Nnformation Extraction from High-Resolution Unmanned Aerial Vehicle Imagery Data.” Journal of Applied Remote Sensing 8 (83673): 1–25. doi:10.1117/1.JRS.8.083673
27. Markovsky, I., 2008. Structured Low-Rank Approximation and Its Applications. Pergamon Press. doi:10.1016/j.automatica.2007.09.011
28. Matese, A., P., Toscano, S. D., Gennaro, L., Genesio, F., Vaccari, J., Primicerio, C., Belli, A., Zaldei, R., Bianconi, and B., Gioli. 2015. “Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture.” Remote Sensing 7 (3): 2971–2990. doi:10.3390/rs70302971
29. Myronenko, A., and X., Song. 2010. “Point Set Registration: Coherent Point Drift.” IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (12): 2262–2275. doi:10.1109/TPAMI.2010.46
30. Ozdogan, M., Y., Yang, G., Allez, and C., Cervantes. 2010. “Remote Sensing of Irrigated Agriculture: Opportunities and Challenges.” Remote Sensing 2 (9): 2274–2304. doi:10.3390/rs2092274
31. Panagiotidis, D., A., Abdollahnejad, and V., Chiteculo. 2017. “Determining Tree Height and Crown Diameter from High-Resolution UAV Imagery.” International Journal of Remote Sensing 38 (8–10): 2392–2410. doi:10.1080/01431161.2016.1264028
32. Rosell, S., M., Olvmo, and B., Holmer. 2017. “Cultivated Land ¨C A Scarce Commodity in A Densely Populated Rural Area in South Wollo.” Journal of Land Use Science 12 (4): 252–270. doi:10.1080/1747423X.2017.1319978
33. Smith, S. M., and J. M., Brady. 1997. “SUSAN - A New Approach to Low Level Image Processing.” International Journal of Computer Vision 23: 45–78. doi:10.1023/A:1007963824710
34. Tikhonov, A. N., and V. Y., Arsenin. 1977. “Solution of Ill-Posed Problems.” Mathematics of Computation 32 (144): 491. doi:10.2307/2006360
35. Torresan, C., A., Berton, F., Carotenuto, S. F. D., Gennaro, B., Gioli, A., Matese, F., Miglietta, C., Vagnoli, A., Zaldei, and L., Wallace. 2017. “Forestry Applications of UAVs in Europe: A Review.” International Journal of Remote Sensing 38 (8–10): 2427–2447. doi:10.1080/01431161.2016.1252477
36. Vanko, J., J. J., Sousa, E., Peres, and R., Morais. 2017. “UAS, Sensors, and Data Processing in Agroforestry: A Review Towards Practical Applications.” International Journal of Remote Sensing 38 (8–10): 2349–2391. doi:10.1080/01431161.2017.1297548
37. Wang, G., Z., Wang, Y., Chen, and W., Zhao. 2015. “Robust Point Matching Method for Multimodal Retinal Image Registration.” Biomedical Signal Processing and Control 19: 68–76. doi:10.1016/j.bspc.2015.03.004
38. Wang, J., Y., Zhou, L., Zhu, M., Gao, and Y., Li. 2014. “Cultivated Land Information Extraction and Gradient Analysis for A North-South Transect in Northeast Asia between 2000 and 2010.” Remote Sensing 6 (12): 11708–11730. doi:10.3390/rs61211708
39. Wei, Z., Y., Han, M., Li, K., Yang, Y., Yang, Y., Luo, and S. H., Ong. 2017. “A Small UAV Based Multi-Temporal Image Registration for Dynamic Agricultural Terrace Monitoring.” Remote Sensing 9 (9): 904. doi:10.3390/rs9090904
40. Yang, K., A., Pan, Y., Yang, S., Zhang, S. H., Ong, and H., Tang. 2017a. “Remote Sensing Image Registration Using Multiple Image Features.” Remote Sensing 9 (6): 581. doi:10.3390/rs9060581
41. Yang, X., R., Kwitt, M., Styner, and M., Niethammer. 2017b. “Quicksilver: Fast Predictive Image Registration-A Deep Learning Approach.” Neuroimage 158: 378–396. doi:10.1016/j.neuroimage.2017.07.008
42. Yang, Y., S. H., Ong, and K. W. C., Foong. 2015. “A Robust Global and Local Mixture Distance Based Non-Rigid Point Set Registration.” Pattern Recognition 48 (1): 156–173. doi:10.1016/j.patcog.2014.06.017
43. Yuille, A. L., and N. M., Grzywacz. 1989. “A Mathematical Analysis of the Motion Coherence Theory.” International Journal of Computer Vision 3 (2): 155–175. doi:10.1007/BF00126430
44. Zhang, S., K., Yang, Y., Yang, Y., Luo, and Z., Wei. 2018a. “Non-Rigid Point Set Registration Using Dual-Feature Finite Mixture Model and Global-Local Structural Preservation.” Pattern Recognition. doi:10.1016/j.patcog.2018.03.004
45. Zhang, S., K., Yang, Y., Yang, and Y., Luo. 2018b. “Nonrigid Image Registration for Low-altitude Suav Images with Large Viewpoint Changes.'' IEEE Geoscience and Remote Sensing Letters 99: 1–5. doi: 10.1109/LGRS.2018.2796136
46. Zhang, X., Y., Zhang, A., Wen, and H., Xiubin. 2004. “Assessment of Soil Losses on Cultivated Land by Using 137cs Technique in the Upper Yangtze River Basin of China.” International Journal of Sediment Research 69 (1): 60–65. doi:10.1016/S0167-1987(02)00131-9
47. Zhong, X., J., Li, H., Dou, S., Deng, G., Wang, Y., Jiang, Y., Wang, Z., Zhou, L., Wang, and F., Yan. 2013. “Fuzzy Nonlinear Proximal Support Vector Machine for Land Extraction Based on Remote Sensing Image.” Plos One 8 (7): e69434. doi:10.1371/journal.pone.0069434.g001
48. Zitov, B., and J., Flusser. 2003. “Image Rgistration Methods: A Survey.” Image and Vision Computing 21 (11): 977–1000. doi:10.1016/S0262-8856(03)00137-9