18.4.3.15 Super Resolution for Remote Sensing Applications

Chapter Contents (Back)
Super Resolution. Restoration. See also Image and Sensor Fusion for Cartography and Aerial Images, Satellite Images, Remote Sensing.

Scambos, T.A., Kvaran, G., Fahnestock, M.A.,
Improving AVHRR Resolution Through Data Cumulation for Mapping Polar Ice Sheets,
RSE(69), No. 1, 1999, pp. 56-66. 9910
BibRef

del Carmen Valdes, M.[Maria], Inamura, M.[Minoru],
Spatial Resolution Improvement of Remotely Sensed Images by a Fully Interconnected Neural Network Approach,
GeoRS(38), No. 5, September 2000, pp. 2426-2429.
IEEE Top Reference. 0010
BibRef

Tatem, A.J., Lewis, H.G., Atkinson, P.M., Nixon, M.S.,
Super-resolution target identification from remotely sensed images using a Hopfield neural network,
GeoRS(39), No. 4, April 2001, pp. 781-796.
IEEE Top Reference. 0105
See also Predicting Missing Field Boundaries to Increase Per-Field Classification Accuracy. BibRef

Wang, Q.M.[Qun-Ming], Shi, W.Z.[Wen-Zhong], Atkinson, P.M.[Peter M.],
Sub-pixel mapping of remote sensing images based on radial basis function interpolation,
PandRS(92), No. 1, 2014, pp. 1-15.
Elsevier DOI 1407
Downscaling BibRef

Wang, Q.M.[Qun-Ming], Atkinson, P.M., Shi, W.Z.[Wen-Zhong],
Indicator Cokriging-Based Subpixel Mapping Without Prior Spatial Structure Information,
GeoRS(53), No. 1, January 2015, pp. 309-323.
IEEE DOI 1410
deconvolution BibRef

Wang, Q.M.[Qun-Ming], Shi, W.Z.[Wen-Zhong], Atkinson, P.M.,
Spatiotemporal Subpixel Mapping of Time-Series Images,
GeoRS(54), No. 9, September 2016, pp. 5397-5411.
IEEE DOI 1609
feature extraction See also Allocating Classes for Soft-Then-Hard Subpixel Mapping Algorithms in Units of Class. BibRef

Wang, Q.M.[Qun-Ming], Atkinson, P.M., Shi, W.Z.[Wen-Zhong],
Fast Subpixel Mapping Algorithms for Subpixel Resolution Change Detection,
GeoRS(53), No. 4, April 2015, pp. 1692-1706.
IEEE DOI 1502
geophysical image processing See also Area-to-point regression kriging for pan-sharpening. BibRef

Atkinson, P.M.[Peter M.],
Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery,
PhEngRS(71), No. 7, July 2005, pp. 839-846. A simple and efficient pixel-swapping algorithm for increasing the spatial resolution of land-cover classification from remotely sensed imagery.
WWW Link. 0509
BibRef

Tatem, A.J., Lewis, H.G., Atkinson, P.M., Nixon, M.S.,
Super-resolution land cover pattern prediction using a Hopfield neural network,
RSE(79), No. 1, January 2002, pp. 1-14.
HTML Version. 0201
BibRef

Atkinson, P.M., Pardo-Iguzquiza, E., Chica-Olmo, M.,
Downscaling Cokriging for Super-Resolution Mapping of Continua in Remotely Sensed Images,
GeoRS(46), No. 2, February 2008, pp. 573-580.
IEEE DOI 0801
BibRef

Nguyen, M.Q., Atkinson, P.M., Lewis, H.G.,
Superresolution Mapping Using a Hopfield Neural Network With Fused Images,
GeoRS(44), No. 3, March 2006, pp. 736-749.
IEEE DOI 0604
BibRef

Fryer, J.G.[John G.], McIntosh, K.[Kerry],
Enhancement of Image Resolution in Digital Photogrammetry,
PhEngRS(67), No. 6, June 2001, pp. 741-750.
WWW Link. 0108
Rigorously combine multiple low-resolution digital images into a higher resolution composite, apply to photogrammetric DEM generation. BibRef

Galbraith, A.E., Theiler, J., Thome, K.J., Ziolkowski, R.W.,
Resolution Enhancement of Multilook Imagery for the Multispectral Thermal Imager,
GeoRS(43), No. 9, September 2005, pp. 1964-1977.
IEEE DOI 0509
BibRef

Long, D.G., Spencer, M.W., Njoku, E.G.,
Spatial Resolution and Processing Tradeoffs for HYDROS: Application of Reconstruction and Resolution Enhancement Techniques,
GeoRS(43), No. 1, January 2005, pp. 3-12.
IEEE Abstract. 0501
BibRef

Akgun, T., Altunbasak, Y., Mersereau, R.M.,
Super-Resolution Reconstruction of Hyperspectral Images,
IP(14), No. 11, November 2005, pp. 1860-1875.
IEEE DOI 0510
BibRef

Merino, M.T.[Maria Teresa], Nunez, J.[Jorge],
Super-Resolution of Remotely Sensed Images With Variable-Pixel Linear Reconstruction,
GeoRS(45), No. 5, May 2007, pp. 1446-1457.
IEEE DOI 0704
BibRef

Boucher, A.[Alexandre], Kyriakidis, P.C.[Phaedon C.],
Integrating Fine Scale Information in Super-resolution Land-cover Mapping,
PhEngRS(73), No. 8, August 2007, pp. 913-922.
WWW Link. 0709
Accounting for additional fine spatial resolution information can lead to super-resolution maps with more realistic spatial patterns. BibRef

Boucher, A.[Alexandre], Kyriakidis, P.C.[Phaedon C.], Cronkite-Ratcliff, C.,
Geostatistical Solutions for Super-Resolution Land Cover Mapping,
GeoRS(46), No. 1, January 2008, pp. 272-283.
IEEE DOI 0712
BibRef

Zhang, H.Y.[Hong-Yan], Yang, Z.[Zeyu], Zhang, L.P.[Liang-Pei], Shen, H.[Huanfeng],
Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences,
RS(6), No. 1, 2014, pp. 637-657.
DOI Link 1402
BibRef

Haris, M., Watanabe, T., Fan, L., Widyanto, M.R., Nobuhara, H.,
Superresolution for UAV Images via Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction,
GeoRS(55), No. 7, July 2017, pp. 4047-4058.
IEEE DOI 1706
Dictionaries, Image edge detection, Image resolution, Imaging, Monitoring, Training, Unmanned aerial vehicles, 3-D images, aerial image, agriculture, monitoring, phenotyping, sparse representation, superresolution (SR), unmanned, aerial, vehicle, (UAV) BibRef


Hu, W.G.[Wen-Guang], Hu, T.B.[Ting-Bo], Wu, T.[Tao], Zhang, B.[Bo], Liu, Q.[Qixu],
Sea-surface image super-resolution based on sparse representation,
IASP11(102-107).
IEEE DOI 1112
BibRef

Zomet, A.[Assaf], Peleg, S.[Shmuel],
Multi-sensor super-resolution,
WACV02(27-31).
WWW Link. 0303
BibRef
Earlier:
Efficient Super-resolution and Applications to Mosaics,
ICPR00(Vol I: 579-583).
IEEE DOI 0009
BibRef
Earlier:
Applying Super-Resolution to Panoramic Mosaics,
WACV98(286-287).
WWW Link. 9809
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Image Restoration and Enhancement .


Last update:Sep 25, 2017 at 16:36:46