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Aerial photography refers to capturing photographs from the ground through an elevated camera, which is usually not supported by a ground-based structure. Unmanned aerial vehicles (UAVs) have been rapidly developed as a platform for collecting such hyper-spatial resolution visual data. Herein, UAV route planning is a critical issue that influences aerial photography quality, especially when uncertainties exist in the concerned aerial photography scheme. This work proposes a hierarchical optimization framework for UAV aerial photography route planning problems when real-world interval uncertainties in the scenario are taken into account. Specifically, in evaluating a candidate flight route, the interval uncertainties that associated with the concerned flight route would make the flight quality range in an interval (known as an interval response); a criterion is proposed to evaluate the quality of all the available interval responses so as to sort the very interval response associated with satisfactory flight route efficiency and robustness; the sorting process is carried out using stochastic fractal search algorithm.