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Object Localization in Weakly Labeled Remote Sensing Images Based on Deep Convolutional Features
| Content Provider | MDPI |
|---|---|
| Author | Long, Yang Zhai, Xiaofang Wan, Qiao Tan, Xiaowei |
| Copyright Year | 2022 |
| Abstract | Object recognition, as one of the most fundamental and challenging problems in high-resolution remote sensing image interpretation, has received increasing attention in recent years. However, most conventional object recognition pipelines aim to recognize instances with bounding boxes in a supervised learning strategy, which require intensive and manual labor for instance annotation creation. In this paper, we propose a weakly supervised learning method to alleviate this problem. The core idea of our method is to recognize multiple objects in an image using only image-level semantic labels and indicate the recognized objects with location points instead of box extent. Specifically, a deep convolutional neural network is first trained to perform semantic scene classification, of which the result is employed for the categorical determination of objects in an image. Then, by back-propagating the categorical feature from the fully connected layer to the deep convolutional layer, the categorical and spatial information of an image are combined to obtain an object discriminative localization map, which can effectively indicate the salient regions of objects. Next, a dynamic updating method of local response extremum is proposed to further determine the locations of objects in an image. Finally, extensive experiments are conducted to localize aircraft and oiltanks in remote sensing images based on different convolutional neural networks. Experimental results show that the proposed method outperforms the-state-of-the-art methods, achieving the precision, recall, and |
| Starting Page | 3230 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs14133230 |
| Journal | Remote Sensing |
| Issue Number | 13 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-05 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Imaging Science Object Localization Weakly Supervised Learning (wsl) Deep Convolutional Features Remote Sensing Images |
| Content Type | Text |
| Resource Type | Article |
