Gromek A., Jenerowicz M. “SAR imagery change detection method for Land Border Monitoring” 6th International Workshop Analysis of Multi-temporal Remote Sensning Images, In Proc. of MultiTemp 2011, p 213-216, Print ISBN: 978-1-4577-1202-9, DOI: 10.1109/Multi-Temp.2011.6005086

ABSTRACT: Change detection is the process of identifying differences that have occurred in the terrain situation at different times. The Earth Observation (EO) data contribute to obtain the rapid and reliable change detection information

Jenerowicz M., Kemper T., Soille T. “An automated procedure for detection of IDP’s dwellings using VHR satellite imagery” In Proc. of SPIE – Image Signal processing for Remote Sensing XVII, Vol. 8180 (SPIE, Bellingham, WA 2011), 818004

ABSTRACT: This paper presents the results for the estimation of dwellings structures in Al Salam IDP Camp, Southern Darfur, based on Very High Resolution multispectral satellite images obtained by implementation of Mathematical Morphology analysis.

Kemper T., Jenerowicz M., Pesaresi M., Soille P. “Enumeration of dwellings in Darfur camps from GeoEye-1 satellite image using mathematical morphology”. IEE Journal of selected topics in applied Earth Observations and Remote Sensing, Vol. 4, No. 1, March

This paper presents a methodology for the detection of dwelling structures in Darfur camps to estimate the total number of dwellings per camp using GeoEye-1 satellite images. The method is based on a translation

Kemper T., Jenerowicz M., Gueguen L., Poli D., Soille P. “Monitoring changes in the Menik Farm IDP camps in Sri Lanka using multi-temporal very high resolution satellite data”. International Journal of Digital Earth. Taylor&Francis Group, print ISSN 1753 – 8947

ABSTRACT: This paper presents the results of the application of mathematical morphology for the automatic quantification of the number of tents and the detection of changes in the Menik Farm IDP camp in Sri

Jenerowicz M., Kemper T., Pesaresi M., Soille P. “Post-event damage assessment using morphological methodology on 0.5m resolution satellite data.”Italian Journal of Remote Sensing – 2010, 42(3)

ASTRACT: This paper presents the results of the application of mathematical morphology techniques for a semi-automatic quantification of the number of dwellings in an IDP camp in Sri Lanka. The specific assessment was undertaken

Kemper T., Jenerowicz M., Soille P. “Counting people in refugee/IDP camps in Darfur/Sudan: what error is acceptable?”, Proc. of VALgEO 2009, European Comission, Joint Research Centre, pp. 153-155

INTRO: According to the United Nations High Commissioner for Refugees, the forced population displacement has grown in size and complexity in recent years; there were approx. 42 million forcibly displaced people worldwide at the

Lewiński S., Sotnikov O., Krupiński M., Parshyna O., Dąbrowski R., 2012. “Satellite images SICH-2 – first analysis”. Archiwum Fotogrametrii, Kartografii i Teledetekcji Vol. 24, 2012, ISBN 978-83-61576-22-8 , p. 177 – 186

Ukrainian-Russian carrier rocket Dnepr, that was launched on August 17, 2011 from the Baikonur Dombarowskij in Russia, has placed in orbit the Sich-2 satellite. It is a satellite dedicated to Earth observation, designed and

Stopa K., Nowakowski A., 2012. “MatSIM – automatic satellite image matching based on spatial features analysis” Archiwym Fotogrametrii, Kartografii i Teledetekcji. Vol. 24, 2012, ISBN 978-83-61576-22-8, p. 357 – 366.

ABSTRACT: Image geometrization is one of the basic processes in satellite image processing. As a result ofthe transformations performed, georeference is attached to the image becoming a cartometric image. Depending of the used algorithm,

Lewiński S., Aleksandrowicz S., 2012 “Evaluation of usability of texture inidentifying basic land cover classes on the satellite images of different resolutions” Archiwym Fotogrametrii, Kartografii i Teledetekcji. Vol. 23, 2012, ISBN 978-83-61576-19-8, p

SUMMARY: An attempt was made to trace the possibility of division of the content of satellite images into two basic classes associated with the “low” and “high” values of the texture. This classification approach

Aleksandrowicz S., Lewiński S., Kotarba A., 2012 “Application of IR-MAD transformation to change detection on satellite images” Archiwym Fotogrametrii, Kartografii i Teledetekcji. Vol. 23, 2012, ISBN 978-83-61576-19-8, p. 11-17

ABSTRACT: In the second half of the 1990s, MAD (Multivariate Alteration Detection) method designed for detecting differences in multidimensional datasets was published. It was developed specifically for change detection performed on the basis of