  Several passive microwave satellites orbit the Earth and measure rainfall.
These measurements have the advantage of almost full global coverage when
compared to surface rain gauges. However, these satellites have low temporal
revisit and missing data over some regions. Image fusion is a useful technique
to fill in the gaps of one image (one satellite measurement) using another one.
The proposed algorithm uses an iterative fusion scheme to integrate information
from two satellite measurements. The algorithm is implemented on two datasets
for 7 years of half-hourly data. The results show significant improvements in
rain detection and rain intensity in the merged measurements.
