ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
This project provides a collection of research works aimed at improving how we analyze and interpret satellite and aerial imagery. It helps remote sensing professionals, such as geographers, urban planners, and environmental scientists, more accurately identify objects, classify land use, and detect changes in large-scale images. You input raw remote sensing images and get out detailed classifications, segmentations, or object detections.
486 stars. No commits in the last 6 months.
Use this if you are a remote sensing specialist working with large datasets of satellite or aerial imagery and need advanced models for tasks like land cover mapping, object identification, or change detection.
Not ideal if you are looking for a simple, off-the-shelf tool for basic image viewing or analysis without deep learning model integration.
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Jun 06, 2024
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