An Automatic Accurate High-Resolution Satellite Image Retrieval Method
Autor: | Dongying Zhang, Fan Zhiwei, Wen Zhang, Lingkui Meng |
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Rok vydání: | 2017 |
Předmět: |
010504 meteorology & atmospheric sciences
Computer science Science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies convolutional neural network 02 engineering and technology satellite image retrieval 01 natural sciences Convolutional neural network Computer vision high-resolution satellite image Image retrieval automated retrieval method satellite image screening 021101 geological & geomatics engineering 0105 earth and related environmental sciences business.industry geohash coding Grid Automatic image annotation Computer Science::Computer Vision and Pattern Recognition General Earth and Planetary Sciences Stage (hydrology) Artificial intelligence business |
Zdroj: | Remote Sensing, Vol 9, Iss 11, p 1092 (2017) Remote Sensing Volume 9 Issue 11 Pages: 1092 |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs9111092 |
Popis: | With the growing number of high-resolution satellite images, the traditional image retrieval method has become a bottleneck in the massive application of high-resolution satellite images because of the low degree of automation. However, there are few studies on the automation of satellite image retrieval. This paper presents an automatic high-resolution satellite image accurate retrieval method based on effective coverage (EC) information, which is used to replace the artificial screening stage in traditional satellite image retrieval tasks. In this method, first, we use a convolutional neural network to extract the EC of each satellite image; then, we use an effective coverage grid set (ECGS) to represent the ECs of all satellite images in the library; finally, the satellite image accurate retrieval algorithm is proposed to complete the process of screening images. The performance evaluation of the method is implemented in three regions: Wuhan, Yanling, and Tangjiashan Lake. The large number of experiments shows that our proposed method can automatically retrieve high-resolution satellite images and significantly improve efficiency. |
Databáze: | OpenAIRE |
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