15.2.8.1 Pushbroom Camera Calibration Issues

Chapter Contents (Back)
Camera Calibration. Pushbroom Camera. Stripes: See also Destriping Images, Pushbroom, Scanner, Remote Sensing Imagry.

Kim, T.J.[Tae-Jung], Shin, D.S.[Dong-Seok], Lee, Y.R.[Young-Ran],
Development of a Robust Algorithm for Transformation of a 3D Object Point onto a 2D Image Point for Linear Pushbroom Imagery,
PhEngRS(67), No. 4, April 2001, pp. 449-452.
WWW Link. 0105
BibRef

Chen, T.[Tianen], Shibasaki, R.Y.[R. Yosuke], Lin, Z.J.[Zong-Jian],
A Rigorous Laboratory Calibration Method for Interior Orientation of an Airborne Linear Push-Broom Camera,
PhEngRS(73), No. 4, April 2007, pp. 369-374.
WWW Link. 0704
A rigorous, high accuracy calibration method for three-line imaging systems. BibRef

Poli, D.[Daniela],
A Rigorous Model for Spaceborne Linear Array Sensors,
PhEngRS(73), No. 2, February 2007, pp. 187-196.
WWW Link. 0704
A rigorous sensor model for the orientation of pushbroom sensors with along-track stereo viewing and the results obtained in various applications. BibRef

Poli, D.[Daniela],
Indirect Georeferencing of Airborne Multi-Line Array Sensors: A Simulated Case Study,
PCV02(A: 246). 0305
BibRef

Poli, D., Remondino, F., Angiuli, E., Agugiaro, G.,
Evaluation of PLEIADES-1A Triplet on Trento Testfield,
Hannover13(287-292).
DOI Link 1308
BibRef

Agugiaro, G., Poli, D., Remondino, F.,
Testfield Trento: Geometric Evaluation Of Very High Resolution Satellite Imagery,
ISPRS12(XXXIX-B1:191-196).
DOI Link 1209
BibRef

Gianinetto, M.[Marco], Scaioni, M.[Marco],
Automated Geometric Correction of High-resolution Pushbroom Satellite Data,
PhEngRS(74), No. 1, January 2008, pp. 107-116.
WWW Link. 0803
A new automatic ground control point extraction technique for increasing the automation for geometric correction of satellite imagery. BibRef

Jung, H.S.[Hyung-Sup], Won, J.S.[Joong-Sun],
Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery,
PandRS(63), No. 6, November 2008, pp. 610-620.
Elsevier DOI 0811
LOS vector adjustment model; Distortion error; Satellite orbit; Pushbroom imagery; SPOT BibRef

Leprince, S., Muse, P., Avouac, J.P.,
In-Flight CCD Distortion Calibration for Pushbroom Satellites Based on Subpixel Correlation,
GeoRS(46), No. 9, September 2008, pp. 2675-2683.
IEEE DOI 0810
BibRef

Dell'Endice, F.[Francesco], Nieke, J.[Jens], Koetz, B.[Benjamin], Schaepman, M.E.[Michael E.], Itten, K.[Klaus],
Improving radiometry of imaging spectrometers by using programmable spectral regions of interest,
PandRS(64), No. 6, November 2009, pp. 632-639.
Elsevier DOI 1001
Calibration; Algorithms; Pushbroom; Radiometric; Imaging spectrometer BibRef

Jama, M.[Michal], Lewis, C.[Chris], Schinstock, D.[Dale],
Identifying degrees of freedom in pushbroom bundle adjustment,
PandRS(66), No. 4, July 2011, pp. 400-407.
Elsevier DOI 1107
Bundle adjustment; Pushbroom camera; Degrees of freedom; DEM; HiRISE BibRef

Reguera-Salgado, J., Calvino-Cancela, M., Martin-Herrero, J.,
GPU Geocorrection for Airborne Pushbroom Imagers,
GeoRS(50), No. 11, November 2012, pp. 4409-4419.
IEEE DOI 1210
BibRef

Zhang, A.[Aiwu], Hu, S.X.[Shao-Xing], Meng, X.G.[Xian-Gang], Yang, L.B.[Ling-Bo], Li, H.L.[Han-Lun],
Toward High Altitude Airship Ground-Based Boresight Calibration of Hyperspectral Pushbroom Imaging Sensors,
RS(7), No. 12, 2015, pp. 15883.
DOI Link 1601
BibRef

Perrier, R.[Régis], Arnaud, E.[Elise], Sturm, P.F.[Peter F.], Ortner, M.[Mathias],
Estimation of an Observation Satellite's Attitude Using Multimodal Pushbroom Cameras,
PAMI(37), No. 5, May 2015, pp. 987-1000.
IEEE DOI 1504
BibRef
Earlier:
Sensor Measurements and Image Registration Fusion to Retrieve Variations of Satellite Attitude,
ACCV10(IV: 361-372).
Springer DOI 1011
BibRef
And:
Satellite image registration for attitude estimation with a constrained polynomial model,
ICIP10(925-928).
IEEE DOI 1009
BibRef
And:
Estimating satellite attitude from pushbroom sensors,
CVPR10(591-598).
IEEE DOI 1006
BibRef

de Franchis, C.[Carlo], Meinhardt-Llopis, E.[Enric], Greslou, D.[Daniel], Facciolo, G.[Gabriele],
Attitude Refinement for Orbiting Pushbroom Cameras: A Simple Polynomial Fitting Method,
IPOL(5), 2015, pp. 328-361.
DOI Link 1601
BibRef

Bettemir, Ö.H.,
Prediction of Georeferencing Precision of Pushbroom Scanner Images,
GeoRS(50), No. 3, March 2012, pp. 831-838.
IEEE DOI 1203
BibRef

Zhang, Y., Wan, Y., Huang, X., Ling, X.,
DEM-Assisted RFM Block Adjustment of Pushbroom Nadir Viewing HRS Imagery,
GeoRS(54), No. 2, February 2016, pp. 1025-1034.
IEEE DOI 1601
Accuracy BibRef

Oh, K.Y.[Kwan-Young], Jung, H.S.[Hyung-Sup],
Automated Bias-Compensation Approach for Pushbroom Sensor Modeling Using Digital Elevation Model,
GeoRS(54), No. 6, June 2016, pp. 3400-3409.
IEEE DOI 1606
Bias compensation of rational polynomial coefficients. digital elevation models BibRef

Tong, X., Ye, Z., Li, L., Liu, S., Jin, Y., Chen, P., Xie, H., Zhang, S.,
Detection and Estimation of Along-Track Attitude Jitter From Ziyuan-3 Three-Line-Array Images Based on Back-Projection Residuals,
GeoRS(55), No. 8, August 2017, pp. 4272-4284.
IEEE DOI 1708
Estimation, Jitter, Satellite broadcasting, Satellites, Sensor arrays, Along-track attitude jitter, Ziyuan-3 (ZY-3) satellite, back-projection residuals, three-line-array, (TLA), images BibRef

Wan, Y.[Yi], Zhang, Y.J.[Yong-Jun],
The P2L method of mismatch detection for push broom high-resolution satellite images,
PandRS(130), No. 1, 2017, pp. 317-328.
Elsevier DOI 1708
Remote, sensing BibRef

Hu, B.L.[Bin-Lin], Hao, S.J.[Shi-Jing], Sun, D.X.[De-Xin], Liu, Y.N.[Yin-Nian],
A novel scene-based non-uniformity correction method for SWIR push-broom hyperspectral sensors,
PandRS(131), No. 1, 2017, pp. 160-169.
Elsevier DOI 1709
Hyperspectral BibRef


Barbieux, K., Constantin, D., Merminod, B.,
Correction Of Airborne Pushbroom Images Orientation Using Bundle Adjustment Of Frame Images,
ISPRS16(B3: 813-818).
DOI Link 1610
BibRef

Sheikh, Y.[Yaser], Gritai, A.[Alexei], Shah, M.[Mubarak],
On the Spacetime Geometry of Galilean Cameras,
CVPR07(1-8).
IEEE DOI 0706
Camera moving at constant velocity. Perspective and pushbroom. BibRef

Yu, J.Y.[Jing-Yi], McMillan, L.[Leonard],
General Linear Cameras,
ECCV04(Vol II: 14-27).
Springer DOI 0405
unifies many previous camera models into a single representation. capable of describing all perspective (pinhole), orthographic, and many multiperspective (including pushbroom and two-slit) cameras, as well as epipolar plane images. BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Refractive, Water, Underwater Camera Calibration .


Last update:Nov 11, 2017 at 13:31:57