Improving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet

Giribabu, D.; Rao, S. Srinivasa; Murthy, Y. V. N. Krishna

doi:10.1016/j.isprsjprs.2012.12.005

Cited by 22 publications

(9 citation statements)

References 16 publications

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“…The Indian Space Research Organisation launched Indian Remote Sensing Satellite-P5 widely known as Cartosat-1, in 2005 (Giribabu, Kumar, Mathew, et al 2013). It is equipped with two panchromatic cameras for stereo viewing and a GPS receiver for the positioning as well as star sensors and gyros for the attitude determination thus providing the satellite the capability to be rolled around the orbit to image the requested area .…”

Section: Cartosat-1 Stereo Ortho-kit Datamentioning

confidence: 99%

“…Though both sensor models can be utilized for the stereo reconstruction process, which forms the base for the DEM extraction and ortho-rectification process, it is still confusing that with the identical user provided inputs (GCPs and tie points), DEM extracted using which sensor model provide better vertical accuracy for complex mountainous terrain, especially Himalaya. Numerous studies (Singh et al 2010;Pieczonka et al 2011;Pandey & Venkataraman 2012;Giribabu, Kumar, et al 2013;Giribabu, Rao et al 2013;Mukherjee et al 2013) have been published in the context of complex Himalayan Mountains regarding DEM generation from Cartosat-1 stereo data using the RPC model but none of them have used or evaluated orbital model to the best of our knowledge. The aim of this research was to find out the answer to this question by evaluating the impact of used sensor models on the relative vertical accuracy of DEM extracted from cartosat-1 stereo orthokit data by taking the resampled high-accuracy high-resolution DEM (HRDEM) extracted from ADS80 digital photogrammetric data as reference DEM.…”

Section: Introductionmentioning

confidence: 99%

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Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

Singh

Gupta

Snehmani

et al. 2015

Geocarto International

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The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy.

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Section: Cartosat-1 Stereo Ortho-kit Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

Singh

Gupta

Snehmani

et al. 2015

Geocarto International

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“…For example, Zhang and Gruen (2006) used more than two IKONOS images simultaneously to generate DSMs by combining the matching results of feature points, grid points, and edges by employing a coarse-to-fine strategy. Giribabu et al (2013) examined the accuracies of DEMs generated from stereo triplet Cartosat-1 images with a spatial resolution of 2.5 m at the ground. In that method, the planimetric and height root-meansquare errors (RMSEs) were approximately 2.5 m and 2.95 m, respectively.…”

Section: Introductionmentioning

confidence: 99%

Improving the Accuracy of Estimated 3d Positions Using Multi-Temporal Alos/Prism Triplet Images

Susaki

Kishimoto

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In this paper, we present a method to improve the accuracy of a digital surface model (DSM) by utilizing multi-temporal triplet images. The Advanced Land Observing Satellite (ALOS) / Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) measures triplet images in the forward, nadir, and backward view directions, and a DSM is generated from the obtained set of triplet images. To generate a certain period of DSM, multiple DSMs generated from individual triplet images are compared, and outliers are removed. Our proposed method uses a traditional surveying approach to increase observations and solves multiple observation equations from all triplet images via the bias-corrected rational polynomial coefficient (RPC) model. Experimental results from using five sets of PRISM triplet images taken of the area around Saitama, north of Tokyo, Japan, showed that the average planimetric and height errors in the coordinates estimated from multi-temporal triplet images were 3.26 m and 2.71 m, respectively, and that they were smaller than those generated by using each set of triplet images individually. As a result, we conclude that the proposed method is effective for stably generating accurate DSMs from multi-temporal triplet images.

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“…Cartosat-1 was launched to acquire stereo observations of the Earth's surface, terrain modeling and large-scale mapping (Srivastava et al, 2006;Srivastava et al, 2007). The stereo capability of Cartosat-1 assists in three-dimensional point determination and enables the generation of detailed DEM (Kumar et al, 2006;Crespi et al, 2008;Jacobsen et al, 2008;Giribabu et al, 2013a;Giribabu et al, 2013b). Seamless and homogeneous DEM for entire India was generated using Cartosat-1 stereo images (Srivastava et al, 2007;Muralikrishnan et al, 2013) with an accuracy of about 4m (Nandakumar et al, 2008).…”

Section: Introcuctionmentioning

confidence: 99%

Synergetic merging of Cartosat-1 and RAMP to generate improved digital elevation model of Schirmacher oasis, east Antarctica

Jawak

Luis

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Available digital elevation models (DEMs) of Antarctic region generated by using radar altimetry and the Antarctic digital database (ADD) indicate elevation variations of up to hundreds of meters, which necessitates the generation of local DEM and its validation by using ground reference. An enhanced digital elevation model (eDEM) of the Schirmacher oasis region, east Antarctica, is generated synergistically by using Cartosat-1 stereo pair-derived photogrammetric DEM (CartoDEM)-based point elevation dataset and multitemporal radarsat Antarctic mapping project version 2 (RAMPv2) DEM-based point elevation dataset. In this study, we analyzed suite of interpolation techniques for constructing a DEM from RAMPv2 and CartoDEM-based point elevation datasets, in order to determine the level of confidence with which the interpolation techniques can generate a better interpolated continuous surface, and eventually improves the elevation accuracy of DEM from synergistically fused RAMPv2 and CartoDEM point elevation datasets. RAMPv2 points and CartoDEM points were used as primary data for various interpolation techniques such as ordinary kriging (OK), simple kriging (SK), universal kriging (UK), disjunctive kriging (DK) techniques, inverse distance weighted (IDW), global polynomial (GP) with power 1 and 2, local polynomial (LP) and radial basis functions (RBF). Cokriging of 2 variables with second dataset was used for ordinary cokriging (OCoK), simple cokriging (SCoK), universal cokriging (UCoK) and disjunctive cokriging (DCoK). The IDW, GP, LP, RBF, and kriging methods were applied to one variable, while Cokriging experiments were employed on two variables. The experiment of dataset and its combination produced two types of point elevation map categorized as (1) one variable (RAMPv2 Point maps and CartoDEM Point maps) and (2) two variables (RAMPv2 Point maps + CartoDEM Point maps). Interpolated surfaces were evaluated with the help of differential global positioning system (DGPS) points collected from study area during the Indian Scientific Expedition to Antarctic (ISEA). Accuracy assessment of the RAMPv2 DEM, CartoDEM, and combined eDEM (RAMPv2 + CartoDEM) by using DGPS as ground reference data shows that eDEM achieves much better accuracy (average elevation error 8.44 m) than that of existing DEM constructed by using only CartoDEM (13.57 m) or RAMPv2 (41.44 m) alone. The newly constructed eDEM achieves a vertical accuracy of about 7 times better than RAMPv2 DEM and 1.5 times better than CartoDEM. After using accurate DGPS data for accuracy assessment, the approximation to the actual surface of the eDEM extracted here is much more accurate with least mean root mean square error (RMSE) of 9.22 m than that constructed by using only CartoDEM (RMSE=14.15 m) point elevation data and RAMPv2 (RMSE=69.48 m) point elevation data. Our results indicate that, the overall trend of accuracy for the interpolation methods for generating continuous elevation surface from CartoDEM + RAMPv2 point elevation data, based on RMSE, is as...

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Improving Cartosat-1 DEM accuracy using synthetic stereo pair and triplet

Cited by 22 publications

References 16 publications

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

Improving the Accuracy of Estimated 3d Positions Using Multi-Temporal Alos/Prism Triplet Images

Synergetic merging of Cartosat-1 and RAMP to generate improved digital elevation model of Schirmacher oasis, east Antarctica

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