Hyperspectral sensors mounted in unmanned aerial vehicles offer new opportunities to explore high-resolution multitemporal spectral analysis remote sensing applications. Nevertheless, the use of hyperspectral data still poses challenges mainly postprocessing correct from high geometric deformation images. In general, acquisition high-quality imagery is achieved through a time-consuming and comp...

This paper proposes a systematic image mosaicking methodology to produce hyperspectral for environment monitoring using an emerging UAV-based push-broom imager. The suitability of alternative methods in each step is assessed by experiments urban scape, river course and forest study area. First, the strips were acquired sequentially stitching UAV images scanning along flight line. Next, direct g...

The non-uniformity is a time-dependent noise caused by the lack of sensor equalization. We present here the detailed algorithm and online demo of the non-uniformity correction method by midway infrared equalization. This method was designed to suit infrared images. Nevertheless, it can be applied to images produced for example by scanners, or by push-broom satellites. This single image method w...

Several space borne cameras use push broom scanning to acquire imagery Traditionally mod eling and analyzing these sensors has been computation ally intensive due to the motion of the orbiting satellite with respect to the rotating earth and the non linearity of the mathematical model involving orbital dynamics A new technique for mapping a D point to its cor responding image point that leads t...