TY - BOOK ID - 118404503 TI - Deep Learning and Computer Vision in Remote Sensing AU - Jafarzadeh, Pouya AU - Heikkonen, Jukka AU - Farahnakian, Fahimeh PY - 2023 SN - 3036563695 3036563687 PB - Basel : MDPI - Multidisciplinary Digital Publishing Institute, DB - UniCat KW - Remote sensing. KW - Remote-sensing imagery KW - Remote sensing systems KW - Remote terrain sensing KW - Sensing, Remote KW - Terrain sensing, Remote KW - Aerial photogrammetry KW - Aerospace telemetry KW - Detectors KW - Space optics UR - https://www.unicat.be/uniCat?func=search&query=sysid:118404503 AB - In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems. ER -