Planimetric accuracy of Ikonos 1 m panchromatic orthoimage products and their utility for local government GIS basemap applications

Davis, C.H.; Wang, X.

doi:10.1080/0143116031000070328

Cited by 39 publications

(33 citation statements)

References 6 publications

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“…These fine-scale features are usually too small to be detected even in 10 m resolution remotely sensed data. The broad availability of IKONOS imagery and historical aerial photographs therefore offers a unique opportunity for high-resolution mapping and change detection across densely populated landscapes in developing countries where imagery of this quality has been very difficult to acquire in the past (Kadmon and HarariKremer 1999, Cousins 2001, Kayitakire et al 2002, Davis and Wang 2003, Di et al 2003.…”

Section: Introductionmentioning

confidence: 98%

Spatial accuracy of orthorectified IKONOS imagery and historical aerial photographs across five sites in China

Wang

Ellis

2005

International Journal of Remote Sensing

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High-resolution ((1 m) satellite imagery and archival World War II era (WW2) aerial photographs are currently available to support high-resolution longterm change measurements at sites across China. A major limitation to these measurements is the spatial accuracy with which this imagery can be orthorectified and co-registered. We orthorectified IKONOS 1 m resolution GEO-format imagery and WW2 aerial photographs across five 100 km 2 rural sites in China with terrain ranging from flat to hilly to mountainous. Ground control points (GCPs) were collected uniformly across 100 km 2 IKONOS scenes using a differential Global Positioning Systems (GPS) field campaign. WW2 aerial photos were co-registered to orthorectified IKONOS imagery using bundle block adjustment and rational function models. GCP precision, terrain relief and the number and distribution of GCPs significantly influenced image orthorectification accuracy. Root mean square errors (RMSEs) at GCPs for IKONOS imagery were ,2.0 m (0.9-2.0 m) for all sites except the most heterogeneous site (Sichuan Province, 2.6 m), meeting 1:12 000 to 1:4800 US National Map Accuracy Standards and equalling IKONOS Precision and Pro format accuracy standards. RMSEs for WW2 aerial photos ranged from 0.2 to 3.5 m at GCPs and from 4.4 to 6.2 m at independent checkpoints (ICPs), meeting minimum requirements for high-resolution change detection.

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Section: Introductionmentioning

confidence: 98%

Spatial accuracy of orthorectified IKONOS imagery and historical aerial photographs across five sites in China

Wang

Ellis

2005

International Journal of Remote Sensing

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“…The results presented by Davis and Wang (2003) demonstrated that orthorectification of the IKONOS Geo products using USGS 30 m DEMs can produce digital base maps with planimetric accuracy of the order of 2-4 m circular error at 90% probability. Helder et al (2003) used different GCPs and three test sites to analyze the accuracy of different IKONOS products.…”

Section: Introductionmentioning

confidence: 87%

Comparison of Planimetric and Thematic Accuracy of OrbView-3 and IKONOS Images

Yanalak

Sertel

Musaoğlu

et al. 2011

J Indian Soc Remote Sens

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Spatial mapping from space using highresolution satellite sensor data instead of conventional data collection techniques widely gained popularity. This study aims to analyze the planimetric and thematic accuracy of high-resolution OrbView-3 and IKONOS orthoimages. OrbView-3 and IKONOS images of a test area were acquired and these images were geometrically corrected using rational polynomial functions to conduct accuracy assessment. 40 Ground Control Points (GCPs) generated from static Global Positioning System (GPS) survey were used in the orthorectification procedure. 182 Test Points (TPs) produced from terrestrial surveying technique were used to analyze the accuracy of orthorectifications. Root Mean Square Error (RMSE) values obtained for GCPs and TPs were used to determine the planimetric accuracy of these images. Thematic accuracy analyses were conducted in radiometric and spatial base. Transects, lines and polygons were created to analyze the radiometric quality of data sets and to determine minimum distinguishable distance and distinguishable area. Both planimetric and thematic accuracy analyses illustrated that OrbView-3 and IKONOS images could be used to create 1:10000 scale map of the concerned region with appropriate planimetric and thematic quality.

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“…The use of high spatial resolution commercial satellite imagery (e.g. IKONOS) has been shown to be cost-competitive with traditional aerial photographic surveys for generating digital image base maps (Davis and Wang 2003). However, the use of high spatial resolution imagery also poses challenges for urban land cover classification.…”

Section: Introductionmentioning

confidence: 99%

Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery

Landry²,

2011

International Journal of Remote Sensing

144

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Improvement in remote sensing techniques in spatial/spectral resolution strengthens their applicability for urban environmental study. Unfortunately, high spatial resolution imagery also increases internal variability in land cover units and can cause a 'salt-and-pepper' effect, resulting in decreased accuracy using pixel-based classification results. Region-based classification techniques, using an image object (IO) rather than a pixel as a classification unit, appear to hold promise as a method for overcoming this problem. Using IKONOS high spatial resolution imagery, we examined whether the IO technique could significantly improve classification accuracy compared to the pixel-based method when applied to urban land cover mapping in Tampa Bay, FL, USA. We further compared the performance of an artificial neural network (ANN) and a minimum distance classifier (MDC) in urban detailed land cover classification and evaluated whether the classification accuracy was affected by the number of extracted IO features. Our analysis methods included IKONOS image data calibration, data fusion with the pansharpening (PS) process, Hue-Intensity-Saturation (HIS) transferred indices and textural feature extraction, and feature selection using a stepwise discriminant analysis (SDA). The classification results were evaluated with visually interpreted data from high-resolution (0.3 m) digital aerial photographs. Our results indicate a statistically significant difference in classification accuracy between pixel-and object-based techniques; ANN outperforms MDC as an objectbased classifier; and the use of more features (27 vs. 9 features) increases the IO classification accuracy, although the increase is statistically significant for the MDC but not for the ANN.

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Planimetric accuracy of Ikonos 1 m panchromatic orthoimage products and their utility for local government GIS basemap applications

Cited by 39 publications

References 6 publications

Spatial accuracy of orthorectified IKONOS imagery and historical aerial photographs across five sites in China

Spatial accuracy of orthorectified IKONOS imagery and historical aerial photographs across five sites in China

Comparison of Planimetric and Thematic Accuracy of OrbView-3 and IKONOS Images

Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery

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