Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

Special Issue No. 97: Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems (WINTER 2019), pp. 136-142 (7 pages) Published By: Coastal Education & Research Foundation, Inc. In ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

The MSLCC dataset has been created for multi-sensor land-cover classification, and has been used and published in [1]. It includes multispectral and SAR images acquired by Sentinel-1B and Sentinel-2A ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

The Digital Imaging and Remote Sensing Image Generation (DIRSIG™) model is a physics-driven synthetic image generation model developed by the Digital Imaging and Remote Sensing Laboratory at Rochester ...

Iintegrating data from multiple sensing sources, multispectral and hyperspectral imaging, LiDAR, and thermal cameras, enables ...

A three-day training workshop has opened for some selected postgraduate students of the Kwame Nkrumah University of Science and Technology (KNUST) to acquaint themselves with remote sensing ...

Mountain Research and Development, Vol. 29, No. 2, Mountain Forests in a Changing World (May 2009), pp. 177-183 (7 pages) The goal of the study was to derive up-to-date and complex information on the ...