Coupled Temporal Variation Information Estimation and Resolution Enhancement for Remote Sensing Spatial–Temporal–Spectral Fusion

Spatial-temporal-spectral fusion (STSF) of remote sensing imagery can produce data with the highest spatial and spectral resolution, only as well as fine temporal resolution, by integrating images with complementary information in both the temporal and spectral domains. Accuracy of temporal variation is an important guarantee for achieving fidelity fusion in STSF. However, current STSF methods estimate the temporal variation only by utilizing the temporal variation between observed multispectral image (MSI) and the relationship between MSI and hyperspectral image (HSI), which is difficult to obtain accurate temporal variation. To address this problem, this paper proposes a coupled temporal variation…

• NN
  National Natural Science Foundation of China

  Awards: 41971296, 61871177, 42171326, 42122009, 41801252, 41801256
• NU
  Ningbo University

  Award: Y202249916
• NS
  Natural Science Foundation of Zhejiang Province

  Awards: LY22F010014, LR19D010001, LQ18D010001