Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
Figure 5. Anomaly detection on a bare soil field, A is the AISA- 
Dual image (October 31, 2009; 10:10 GMT;; midlatitude 
summer model; 30.2 0 solar zenith, 141.2 0 azimuth angle), B is 
the RXD product, C is the SVDD product, D is the boresight 
band detection 
4. Schlapfer, D., Richter, R., Hueni, A., 2009. "Recent 
development in Operational Atmospheric and Radiometric 
Correction of Hyperspectral Imagery", in EARSeL 6 
proceeiding, Tel-Aviv, Israel 
5. Toutin, Th., 1995. “Generating DEM from stereo-images 
with a photogrammetric approach: Examples with VIR and 
SAR data,” EARSeL Advances in Remote Sensing, vol. 4 (, no. 
2), 110-117 
6. Yu, X., Reed, I.S., and Stocker, A.D., 1993. “Comparative 
performance analysis of adaptivemultispectral detectors,” IEEE 
Trans. Signal Processing^ 1, 2639-2656 
7. Yu, X., Hoff, L. E., Reed, I. S„ Chen, A.M., and Stotts, L.B. 
1997. “Automatic target detection and recognition in 
multispectral imagery: A unified ML detection and estimation 
approach,” IEEE Trans. Image Processing, 6, 143-156 
4. SUMMARY AND CONCLUSIONS 
Correcting the boresight effect is an almost automatically key 
mission taken by all Dual system users. The consideration of 
boresight effect as a noise in the system leads to the assumption 
that it needs to be corrected prior to data analysis. This work 
showed that boresight effect may operate as a vehicle to monitor 
and detect some spectral phenomena in the image. Three 
applications were investigated and demonstrated as follow: 1) 
enhancing shadowing effect, 2) generating a 3-D view, and 3) 
performing a better detection of boarder anomaly. First 
application provides an external shadow map for any de 
shadowing algorithm, allows it to skips prior steps of shadow 
areas masking that occasionally misidentiiying these areas with 
highly contrast dark targets. The second application deals with 
an extraction of 3-D information. The automated matching 
process has been achieved with different datasets (along-track 
and across-track) and potential accuracy for the across-track 
stereo-derived local DEM. The final application detects 
spectral/spatial anomaly of boresight calculated band. In this 
study, the advantage of the sensors orientation and boresight 
effects were used to generate "hidden" information within the 
data that other techniques could not yield. 
5. REFERENCES 
1. Adams, J. B., Smith, M. O. and Johnson, P. E.,1986. 
’’Spectral mixture modeling: A new analysis of rock and soil 
types at the Viking Lander 1 site,” Journal of Geophysical 
Research, 91, 8098-8112 
2. Banerjee, A., Burlina, P., Diehl, C., 2006. "Support vector 
methods for anomaly detection in hyperspectral imagery"," 
in IEEE Transactions on Geosience and Remote sensing 
3. Reed, I. S., and Yu, X.,1990. “Adaptivemultiple-band CFAR 
detection of an optical pattern with unknown spectral 
distribution,” IEEE Trans. Acoust., Signal Processing, 38, 
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