… and hyperspectral images), the corresponding specific feature representations … deep
learning methods, we are free of these handcrafted low-level features and can automatically learn …

… With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth … Deep learning (DL), as a cutting-edge technology, has witnessed remarkable …

… typical ocean remote sensing image examples are embedded. … Deep Network Architecture
with Attention Mechanism Ocean remote sensing images and time series resemble the image/…

… Following that, we introduce the linear classifiers used for remote sensing images
classification: LRC and SVM, as well as the PCA that was used for dimensionality reduction. We …

… aircraft effectively in remote sensing images, which plays a … to the corners detected on
binary images. Then, the CNN is … The optical remote sensing images used in this paper come …

… images scene classification, we replace the handcrafted features of the self-label techniques
with deep learning … solve the problem: (1) The deep learning features extracted from the pre-…

… of applying deep learning to various earth observation sensors for a number … deep learning
applies not only to image classification, but also to image restoration from multimodal imagery…

… mote sensing image processing. In this paper, a novel multilevel cloud detection method based
on deep learning is proposed for remote sensing images… to segment the image into good …

… a remote sensing image. This paper presents a novel method based on deep learning. First,
… to detect the main objects of the remote sensing images. Then a recurrent neural network …

… fast and transferrable machine-learning technologies for the large-… in deep-learning-based
remote-sensing image interpretation … integration between deep learning and remote sensing. …