Development Program of China (No. 2016YFB0502603 and
No. 2016YFB0501403), the Fundamental Research Funds
for the Central Universities (No. 2682017CX084 and No.
2682016CY02) and the Open Research Fund of State Key
Laboratory of Information Engineering in Surveying, Mapping
and Remote Sensing (No. 15R03). The authors would like to
thank the
SWISSTOPO
for providing the scanned aerial image.
The authors would also like to thank John Hopkins University
Applied Physics Lab to support the Worldview-3 Imagery. We
would like to thank the anonymous reviewers for their careful
reading and comments.
References
Ackermann, F., 1984. Digital image correlation: Performance and
potential application in photogrammetry,
The Photogrammetric
Record
, 11(64):429–439.
Bay, H., A. Ess, T. Tuytelaars, and L. Gool, 2008. Speeded-up robust
features (SURF),
Computer Vision and Image Understanding
,
110(3):346–359.
Chen, M., Z. Shao, D. Li, and J. Liu, 2013. Invariant matching method
for different viewpoint angle images,
Applied Optics
, 52(1):96–104.
Chen, M., A. Habib, H. He, Q. Zhu, and W. Zhang, 2017. Robust
feature matching method for SAR and optical images by using
gaussian-gamma-shaped bi-windows-based descriptor and
geometric constraint,
Remote Sensing
, 9(9):882.
Dalal, N., and B. Triggs, 2005. Histograms of oriented gradients for
human detection,
Proceedings of IEEE Conference on Computer
Vision and Pattern Recognition (CVPR)
, 20-25 June, San Diego,
California, pp. 886–893.
Duchenne, O., F. Bach, I. Kweon, and J. Ponce, 2011. A tensor-based
algorithm for high-order graph matching,
IEEE Transactions on
Pattern Analysis and Machine Intelligence
, 33(12):2383–2395.
Fan, B., F. Wu, and Z. Hu, 2011. Towards reliable matching of images
containing repetitive patterns,
Pattern Recognition Letters
,
32(14):1851–1859.
Fischler, M.A., and R.C. Bolles, 1981. Random sample consensus: A
paradigm for model fitting with applications to image analysis
and automated cartography,
Communications of the ACM
,
24(6):381–395.
Förstner, W., and E. Gülch, 1987. A fast operator for detection and
precise location of distinct points, corners and centres of circular
features,
Proceedings of ISPRS Intercommission Conference
on Fast Processing of Photogrammetric Data
, June, Interlaken,
Switzerland, pp. 281–305.
Gauglitz, S., T. Höllerer, and M. Turk, 2011. Evaluation of interest
point detectors and feature descriptors for visual tracking,
International Journal of Computer Vision
, 94:335–360.
Gruen, A., 1985. Adaptive least squares correlation: A powerful image
matching technique,
South African Journal of Photogrammetry,
Remote Sensing and Cartography
, 14(3):175–187.
Gruen, A., and L. Zhang, 2002. Automatic DTM generation from
three-line-scanner (TLS) images,
International Archives of
Photogrammetry and Remote Sensing
, 34(2A):131–137.
Gruen, A., and D. Akca, 2005. Least squares 3D surface and curve
matching,
ISPRS Journal of Photogrammetry and Remote
Sensing
, 59(3):151–174.
Gruen, A., 2012. Development and status of image matching in
photogrammetry,
The Photogrammetric Record
, 27(137):36–57.
Habib, A., Y, Han, W. Xiong, F. He, Z. Zhang, and M. Crawford, 2016.
Automated ortho-rectification of UAV-based hyperspectral data
over an agricultural field using frame RGB imagery,
Remote
Sensing
, 8(10): 796.
Harris, C., and M. Stephens, 1988. A combined corner and edge detector,
Proceedings of the 4
th
Alvey Vision Conference
, pp. 147–152.
Helava, U., 1978. Digital correlation in photogrammetric instruments,
Photogrammetria
, 34:19–41.
Kovesi, P., 1999. Image Features from Phase Congruency,
Videre:
Journal of Computer Vision Research
, 1(3):1–26.
Lhuillier, M., and L. Quan, 2002. Match propagation for image-based
modeling and rendering,
IEEE Transactions on Pattern Analysis
and Machine Intelligence
, 24(8):1140–1146.
Lowe, D., 2004. Distinctive image features from scale-invariant
keypoints,
International Journal of Computer Vision
, 60(2):91–110.
Maes, F., A. Collignon, D. Vandermeulen, D. Marchal, and P. Suetens,
1997. Multimodality image registration by maximization of
mutual information,
IEEE Transactions on Medical Imaging
,
16(2):187–198.
Matas, J., O. Chum, M. Urban, and T. Pajdla, 2004. Robust wide-
baseline stereo from maximally stable extremal regions,
Image
Vision Computing
, 22(10):761–767.
Mikolajczyk, K., and C. Schmid, 2004. Scale and affine invariant
interest point detectors,
International Journal of Computer
Vision
, 60(1):63–86.
Mikolajczyk, K., and C. Schmid, 2005. A performance evaluation of
local descriptors,
IEEE Transactions on Pattern Analysis and
Machine Intelligence
, 27(10):1615–1630.
Mikolajczyk, K., T. Tuytelaars, C., Schmid, A. Zisserman, J. Matas, F.
Schaffalitzky, T., Kadir, and L. Van Gool, 2005. A comparison of
affine region detectors,
International Journal of Computer Vision
,
65(1-2):43–72.
Morel, J.M., and G. Yu, 2009. ASIFT: A new framework for fully affine
invariant image comparison,
SIAM Journal on Imaging Sciences
,
2(2):438–469.
Mortensen, E., H. Deng, and L. Shapiro, 2005. A SIFT descriptor with
global context,
Proceedings of IEEE Conference on Computer
Vision and Pattern Recognition (CVPR)
, 20-25 June 2005, San
Diego, California, pp. 184–190.
Schmid, C., R. Mohr, and C. Bauckhage, 2000. Evaluation of interest
point detectors,
International Journal of Computer Vision
,
37(2):151–172.
Smith, S., and J. Brady, 1997. Susan: A new approach to low-level
image-processing,
International Journal of Computer Vision
, 23
(1):45–78.
Tola E, V. Lepetit, and P. Fua, 2010. Daisy: An efficient dense
descriptor applied to wide-baseline stereo,
IEEE Transactions on
Pattern Analysis and Machine Intelligence
, 32(5):815–830.
Tuytelaars, T., and K. Mikolajczyk, 2008. Local invariant feature
detectors: A survey,
Foundations and Trends in Computer
Graphics and Vision
, 3(3):177–280.
Wu, Q., and D. Pairman, 1995. A relaxation labeling technique for
computing sea surface velocities from sea surface temperature,
IEEE Transactions on Geoscience and Remote Sensing
,
33(1):216–220.
Xiong, Z., and Y. Zhang, 2009. A novel interest-point-matching
algorithm for high-resolution satellite images,
IEEE Transactions
on Geoscience and Remote Sensing
, 47(12):4189-4200.
Ye, Y., J. Shan, L. Bruzzone, and L. Shen, 2017. Robust registration
of multimodal remote sensing images based on structural
similarity,
IEEE Transactions on Geoscience and Remote
Sensing
, 55(5):2941–2958.
Yu, Y., K. Huang, W. Chen, and T. Tan, 2012. A novel algorithm
for view and illumination invariant image matching,
IEEE
Transactions on Image Processing
, 21(1):229–240.
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
August 2018
523
