… Show, attend and tell: Neural image caption generation with visual attention. In Proceedings
of the International Conference on Machine Learning, Lille, France, 6–11 July 2015; pp. …

… Yang, “Building change detection for remote sensing images using a dual-task constrained
… Zhao, “Remote sensing image caption generation via transformer and reinforcement learning,…

… of deep learning methods for remote sensing image scene classification by … remote
sensing image scene classification and survey: first, autoencoder-based remote sensing image …

… image retrieval [9], [10], urban planning, and environment monitoring. As we all know, VHR
remote sensing images … Therefore, intelligent scene classification of remote sensing images […

… -level methods have dominated the task of remote sensing image analysis for decades [70]–…
of the meanings and contents of remote sensing images, we take eight images from the very …

… lying over or beneath the earth’s surface have long been a fundamental but challenging
research topic in geoscience and remote sensing (RS), and have garnered a growing concern …

… applied for remote sensing image analysis tasks including image fusion, image registration,
… ) classification, segmentation, and object-based image analysis (OBIA). This review covers …

… Learning efficient image representations is at the core of the scene classification task of
remote sensing imagery. The existing methods for solving the scene classification task, based on …

… images of the same area. Monitoring differences in bi-temporal remotely sensed images
is … Using remote sensing images for change detection has been widely applied for various …

… Because visual examination of imagery will play an important … remotely sensed images.
By the end of this chapter, the reader should have a grasp of the foundations of remote sensing …