Region-of-Interest Extraction Based on Frequency Domain Analysis and Salient Region Detection for Remote Sensing Image
Libao Zhang, Kaina Yang · IEEE Geoscience and Remote Sensing Letters · 2013
Traditional approaches for detecting visually salient regions or targets in remote sensing images are inaccurate and prohibitively computationally complex. In this letter, a fast, efficient region-of-interest extraction method based on frequency domain analysis and salient region detection (FDA-SRD) is proposed. First, the HSI transform is used to preprocess the remote sensing image from RGB space to HSI space. Second, a frequency domain analysis strategy based on quaternion Fourier transform was employed to rapidly generate the saliency map. Finally, the salient regions are described by an adaptive threshold segmentation algorithm based on Gaussian Pyramids. Compared with existing models, the new algorithm is computationally more efficient and provides more visually accurate detection results.