Investigation and remediation of false topographic perception phenomena observed on Chang’E-1 lunar imagery

Wu, Bo; Li, Haifeng; Gao, Yang

doi:10.1016/j.pss.2012.10.018

Cited by 9 publications

(6 citation statements)

References 25 publications

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“…retaining little original image saturation) Fusion based on HSI transformation Approach 1: replacing intensity component with the SRM (Chen, He, and Yue 2011;Saraf et al 2007) Approach 2: combining the low-pass filtered intensity component with the SRM (Wu, Li, and Gao 2013) Approach 3: consolidating the intensity component and the SRM under certain constraints (Zhang, Yuan, and Xu 2010) Topographic correction…”

Section: Image Fusionmentioning

confidence: 99%

A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique

Zhang

Zhu

Chen

et al. 2016

International Journal of Digital Earth

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2016): A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique, International Journal of Digital Earth, ABSTRACTThe false topographic perception phenomenon (FTPP) refers to the visual misperception in remote-sensing images that certain types of terrains are visually interpreted as other types in rugged lands, for example, valleys as ridges and troughs as peaks. For this reason, the FTPP can influence the visualization and interpretation of images to a great extent. To scrutinize this problem, the paper firstly reviews and tests the existing FTPPcorrection techniques and identifies the inverse slope-matching technique as an effective approach to visually enhance remote-sensing images and retain the colour information. The paper then proposes an improved FTPP-correction procedure that incorporates other imageprocessing techniques (e.g. linear stretch, histogram matching, and flatarea replacement) to enhance the performance of this technique. A further evaluation of the proposed technique is conducted by applying the technique to various study areas and using different types of remote-sensing images. The result indicates the method is relatively robust and will be a significant extension to geovisual analytics in digital earth research. ARTICLE HISTORY

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Section: Image Fusionmentioning

confidence: 99%

A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique

Zhang

Zhu

Chen

et al. 2016

International Journal of Digital Earth

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“…The effect can lead to critical mistakes in interpreting the terrain. The effect can be observed in remotely sensed Earth imagery as well as lunar surface images (Saraf et al 1996;Wu, Li, and Gao 2013). Bernabé Poveda and Çöltekin (2014) provide a systematic investigation of the terrain reversal effect in satellite imagery through a two-stage online user experiment with 535 participants.…”

Section: Editorial Geovisual Analytics: Human Factorsmentioning

confidence: 99%

Geovisual analytics: human factors

Çöltekin¹,

Pettit²,

Wu³

2015

International Journal of Digital Earth

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“…In this process, the DEM resolution is an important factor that should be a function of the spatial resolution of the satellite image because a model with too low resolution in relation to the image will cause distortions in the corrected image. Wu, Li, and Gao (2013), assert that if the resolution of the DEM is very different from the image pixel size, the performance of the FTPP correction will be poor. Bernabé, Sánchez, and Çöltekin (2011) proposed the use of semi-transparent hill shading overlays on the ortho-photo by means of an image in an RGBA colour space: the value of the RGB channels corresponds to the value of the hill shading model, whereas the value of the alpha channel will be 0 in flat areas and will rise to 1 in hilly areas.…”

Section: Related Workmentioning

confidence: 99%

“…As in Saraf et al (2011), Wu, Li, and Gao (2013) used lunar images to correct the pseudoscopic effect in craters, but in this case, the correction method was again a DEM generated using data from a laser altimeter to create an SRM of the crater. The subsequent fusion of the original image of the crater and the SRM was performed using a shiftinvariant discrete wavelet transform.…”

Section: Related Workmentioning

confidence: 99%

DEM shading method for the correction of pseudoscopic effect on multi-platform satellite imagery

Gil

Arza

Sanz

et al. 2014

GIScience & Remote Sensing

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The pseudoscopic effect in satellite imagery causes perception problems for rugged terrain. The topographic relief is perceived in reverse in images with southeast illumination because of the position of land shadows and the mechanisms of human vision and depth perception. This article presents a correction method for false topographic perception phenomena. Superposition of the orthoimage and the correctly shaded digital elevation model (DEM) provides the correct three-dimensional visualization of the relief. This study demonstrates the applicability of this processing technique for the correction of such effects to provide cartography with a more useful interpretation. The resolution of the DEM employed should be in accordance with the spatial resolution of each image. The opacity level proposed for the overlapping DEM is 50%, 30% and 45% for each image type. The selection of the most appropriate local incidence angle is determined by the level of terrain roughness in the work area.

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Investigation and remediation of false topographic perception phenomena observed on Chang’E-1 lunar imagery

Cited by 9 publications

References 25 publications

A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique

A correction technique for false topographic perception of remote-sensing images based on an inverse topographic correction technique

Geovisual analytics: human factors

DEM shading method for the correction of pseudoscopic effect on multi-platform satellite imagery

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