Radiometric Cross-Calibration of GF-4 PMS Sensor Based on Assimilation of Landsat-8 OLI Images

摘要: Earth observation data obtained from remote sensors must undergo radiometric calibration before use in quantitative applications. However, the large view angles of panchromatic multispectral sensor (PMS) aboard GF-4 satellite pose challenges for cross-calibration due to effects atmospheric radiation transfer and bidirectional reflectance distribution function (BRDF). To address this problem, paper introduces a novel method based on assimilation considering as an optimal approximation problem. The PMS was cross-calibrated with well-calibrated Landsat-8 Operational Land Imager (OLI) reference sensor. In order correct unequal reflection effects, adjustment factor BRDF established, making complex models unnecessary. proposed employed Shuffled Complex Evolution-University Arizona (SCE-UA) algorithm find coefficients through iterative process. validation results revealed surface error <5% new coefficients. accuracy were significantly improved when compared officially published well those derived using conventional methods. uncertainty produced by less than 7%, meeting demands future applications research. This is also applicable other angles.