Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images.However, restricted by the fixed receptive field of convolution operation, convolution-based models cannot directly obtain contextual information.Meanwhile, Swin Transformer possesses great potential in modeling long-rang
Remote sensing image Immunity spatiotemporal fusion (STF) aims to generate composite images with high-temporal and spatial resolutions by combining remote sensing images captured at different times and with different spatial resolutions (DTDS).Among the existing fusion algorithms, deep learning-based fusion models have demonstrated outstanding perf
We examine how organizational culture and power distance influence religiosity and, in turn, how these variables affect corruption.We gathered Treatment-Serums data from Indonesian public servants and analyzed the relationships using PLS-SEM.The findings suggest a significant inverse relationship between religiosity and corruption, reinforcing ethi
Adaptive collaborative management emphasizes stakeholder engagement as a crucial component of resilient social-ecological systems.Collaboration among diverse stakeholders is expected to enhance learning, build social legitimacy for decision making, and establish relationships that support learning and adaptation in the long term.However, simply bri