In the exploration application of space-based remote sensing, dynamic range and spatiotemporal change rate are the important factors affecting the high-precision detection, tracking and identification of infrared high temperature targets. Generally, influenced by the dark current and circuit noise of the detectors, the dynamic range of a single scene of the detection system is usually less than about 72 dB, and it is difficult to cover the super targets with the dynamic range of about 100 dB, which reduces the recognition ability and quantitative description accuracy of the target. In terms of the problems mentioned above, an adaptive parameter adjustment technique for the detection payloads was proposed. By adjusting the integral time through double exposure and adaptive strategy, the accurate description of target energy could be achieved while maximizing the signal-to-noise ratio of target detection. Simulation results show that the proposed method is simple to operate and can effectively detect and describe targets in the whole dynamic range. This method can provide a useful reference for the research of intelligent detection of space-based objects.