In response to the growing threats posed by frequent wildfires to ecological environments and human safety, this study presents the development of a lightweight, spaceborne, multispectral, uncooled infrared remote sensing camera specifically designed for wildfire monitoring. To address the low wildfire detection sensitivity of VOx uncooled infrared instruments, a multi-point precision temperature control technique and a spatiotemporal stacking method are implemented. Furthermore, a compact design and assembly approach endows the camera with low weight, small size, and low power consumption, making it highly suitable for satellite deployment. The test results demonstrate that the camera weighs less than 1.5 kg, consumes under 15 W of power, and achieves a sensitivity below 0.2 K, comparable to current spaceborne cooled infrared remote sensing cameras. The remote sensing camera has successfully detected various wildfires and thermal events. This study provides an innovative instrument for remote sensing wildfire monitoring.

Digital time-delay integration (TDI) enhances the signal-to-noise ratio (SNR) in infrared (IR) imaging, but its effectiveness in push-broom scanning is contingent upon maintaining a stable image shift velocity. Unpredictable image shifts and rotations, caused by carrier or scene movement, can affect the imaging process. This paper proposes an advanced technical approach for infrared multispectral TDI imaging. This methodology concurrently estimates the image shift and rotation between frames by utilizing a high-resolution visible camera aligned parallel to the optical axis of the IR camera. Subsequently, parameter prediction is conducted using the Kalman model, and real-time compensation is achieved by dynamically adjusting the infrared TDI integration unit based on the predicted parameters. Simulation and experimental results demonstrate that the proposed algorithm enhances the BRISQUE score of the TDI images by 21.37%, thereby validating its efficacy in push-scan imaging systems characterized by velocity-height ratios instability and varying camera attitudes. This research constitutes a significant contribution to the advancement of high-precision real-time compensation for image shift and rotation in infrared remote sensing and industrial inspection applications.