As a fundamental and important task in remote sensing, remote sensing image scene understanding (RSISU) has attracted tremendous research interest in recent years. RSISU includes the following sub-tasks: remote sensing image scene classification, remote sensing image scene retrieval, and scene-driven remote sensing image object detection. Although these sub-tasks have different goals, they share some communal hints. Hence, this paper tries to discuss them as a whole. Similar to other domains (e.g., speech recognition and natural image recognition), deep learning has also become the state-of-the-art technique in RSISU. To facilitate the sustainable progress of RSISU, this paper presents a comprehensive review of deep-learning-based RSISU met...
Machine learning, particularly deep learning (DL), has become a central and state-of-the-art method ...
Recent years have witnessed rapid development and remarkable achievements on deep learning object de...
Recent advances in satellite technology have led to a regular, frequent and high- resolution monitor...
Now a days, deep learning is becoming very famous dueto its power fulability of learning. Deep learn...
Now a days, deep learning is becoming very famous dueto its power fulability of learning. Deep learn...
<p> Remote sensing image scene classification plays an important role in a wide range of applicatio...
This is the author accepted manuscript. The final version is available from Taylor & Francis via the...
One of the challenges in the field of remote sensing is how to automatically identify and classify h...
Remote sensing (RS) image classification plays an important role in the earth observation technology...
In recent years, remote sensing target recognition algorithms based on deep learning technology have...
Due to the specific characteristics and complicated contents of remote sensing (RS) images, remote s...
The rapid growth of the world population has resulted in an exponential expansion of both urban and ...
Through the continued development of technology, applying deep learning to remote sensing scene clas...
With the recent advances in remote sensing technologies for Earth observation, many different remote...
The complexity of scene images makes the research on remote-sensing image scene classification chall...
Machine learning, particularly deep learning (DL), has become a central and state-of-the-art method ...
Recent years have witnessed rapid development and remarkable achievements on deep learning object de...
Recent advances in satellite technology have led to a regular, frequent and high- resolution monitor...
Now a days, deep learning is becoming very famous dueto its power fulability of learning. Deep learn...
Now a days, deep learning is becoming very famous dueto its power fulability of learning. Deep learn...
<p> Remote sensing image scene classification plays an important role in a wide range of applicatio...
This is the author accepted manuscript. The final version is available from Taylor & Francis via the...
One of the challenges in the field of remote sensing is how to automatically identify and classify h...
Remote sensing (RS) image classification plays an important role in the earth observation technology...
In recent years, remote sensing target recognition algorithms based on deep learning technology have...
Due to the specific characteristics and complicated contents of remote sensing (RS) images, remote s...
The rapid growth of the world population has resulted in an exponential expansion of both urban and ...
Through the continued development of technology, applying deep learning to remote sensing scene clas...
With the recent advances in remote sensing technologies for Earth observation, many different remote...
The complexity of scene images makes the research on remote-sensing image scene classification chall...
Machine learning, particularly deep learning (DL), has become a central and state-of-the-art method ...
Recent years have witnessed rapid development and remarkable achievements on deep learning object de...
Recent advances in satellite technology have led to a regular, frequent and high- resolution monitor...