A5078146006- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Rangeland and Wildlife Management
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Species Distribution and Climate Change
Boston University
2021-2022
Wuhan University
2016
Effectively identifying an airport from satellite and aerial imagery is a challenging task. Traditional methods mainly focus on the use of multiple features for detection runways some also adapt knowledge airports, but results are unsatisfactory usage limited. A new method proposed to recognize airports high-resolution optical images. This involves analysis saliency distribution fuzzy rule-based classification. First, number images with without segmented into scales obtain map that best...
Abstract. Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is various fields also a challenging task. Traditional methods of detecting harbours mainly focus on the segmentation water land manual selection knowledge. They do not make enough use other features often fail to describe completely. In order improve detection, new method proposed. First, image transformed Hue, Saturation, Value (HSV) colour space saliency...
Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is various fields also a challenging task. Traditional methods of detecting harbours mainly focus on the segmentation water land manual selection knowledge. They do not make enough use other features often fail to describe completely. In order improve detection, new method proposed. First, image transformed Hue, Saturation, Value (HSV) colour space saliency analysis...