The invention discloses a
remote sensing image
region of interest detection method based on integer wavelets and visual features, which belongs to the technical field of
remote sensing image target identification. The implementing process of the method comprises the following steps: 1, performing color synthesis and filtering and
noise reduction preprocessing on a
remote sensing image; 2, converting the preprocessed RGB spatial remote sensing image into a CIE
Lab color space to obtain a brightness and color feature map, and converting an L component by using integer wavelets to obtain a direction feature map; 3, constructing a
Gaussian difference filter for simulating the
retina receptive field of a
human eye, performing cross-scale combination in combination with a
Gaussian pyramid to obtain a brightness and color
feature saliency map, and performing
wavelet coefficient sieving and cross-scale combination to obtain a direction
feature saliency map; 4, synthesizing a main
saliency map by using a feature competitive strategy; and 5, partitioning the threshold values of the main
saliency map to obtain a
region of interest. Due to the adoption of the remote sensing image
region of interest detection method, the detection accuracy of a remote sensing image region of interest is increased, and the
computation complexity is lowered; and the remote sensing image region of interest detection method can be applied to the fields of
environmental monitoring,
urban planning,
forestry investigation and the like.