Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Selective Synthetic Aperture Radar and Panchromatic Image Fusion by Using the ` a Trous Wavelet | EURASIP Journal on Applied Signal Processing 2005 14 2207-2214 2005 Hindawi Publishing Corporation Selective Synthetic Aperture Radar and Panchromatic Image Fusion by Using the a Trous Wavelet Decomposition Youcef Chibani Laboratoire de Traitement du Signal Faculte d Electronique et d Informatique Universite des Sciences et de la Technologie Houari Boumediene BP 32 El-Alia Bab-Ezzouar 16111 Algiers Algeria Email ychibani@ Received 24 December 2003 Revised 9 January 2005 Synthetic aperture radar SAR imaging sensor presents an important advantage for the earth change observation independently of weather conditions. However the SAR image provides an incomplete information as roads of the observed scene leading thus to an ambiguous interpretation. In order to compensate the lack of features the high spatial resolution panchromatic P image is often used as a complementary data for improving the quality of the SAR image. The concept is based on the extraction of features details from the P image in order to incorporate into the SAR image. Therefore we propose an approach based on the use of the a trous wavelet decomposition ATWD for extracting features from the P image. Experimental results show that the SAR-P composite image allows a better detection of lines edges and field boundaries. Keywords and phrases remote sensing SAR and panchromatic images image fusion highpass filtering a trous wavelet decomposition. 1. INTRODUCTION In remote sensing the synthetic aperture radar SAR imaging sensor presents an important advantage for the earth change observation independently of weather conditions. Its sensitivity to the geometry of targets allows providing an image that essentially contains information on the surface roughness object shape orientation as well as the moisture content 1 2 . A second advantage is the increase of the values for urban features because of the corner reflector effect. However the recognition of some features as roads or fields boundaries is
