Gaussian Splatting for Efficient Satellite Image Photogrammetry
Recently, Gaussian splatting has emerged as a strong alternative to NeRF, demonstrating impressive 3D modeling capabilities while requiring only a fraction of the training and rendering time. In this paper, we show how the standard Gaussian splatting framework can be adapted for remote sensing, retaining its high efficiency. This enables us to achieve state-of-the-art performance in just a few minutes, compared to the day-long optimization required by the best-performing NeRF-based Earth observation methods. The proposed framework incorporates remote-sensing improvements from EO-NeRF, such as radiometric correction and shadow modeling, while introducing novel components, including sparsity, view consistency, and opacity regularizations.
Code (0)
등록된 구현이 없습니다.
Tasks
Earth ObservationNeRFSimilar Papers 제목 키워드 기반
Novel View Synthesis with Gaussian Splatting: Impact on Photogrammetry Model Accuracy and Resolution
In this paper, I present a comprehensive study comparing Photogrammetry and Gaussian Splatting techniques for 3D model reconstruction and view synthesis. I created a dataset of images from a real-world scene and construc…
Novel View SynthesisSatSplat: Geometrically-Accurate Gaussian Splatting for Satellite Imagery
High-resolution satellite imagery demands 3D reconstruction methods that deliver both speed and geometric accuracy. Recent adaptations of 3D Gaussian Splatting (3DGS) to satellite imagery demonstrate strong efficiency, b…
Computational Efficiency3D ReconstructionRPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagery
We present RPC-GS, the first Gaussian Splatting framework for satellite imagery that operates natively with Rational Polynomial Camera (RPC) models. The RPC model is the de facto standard for representing the complex ima…
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D Gaussian Splatting stands out for its e…
3D Scene ReconstructionSurface ReconstructionCreating Seamless 3D Maps Using Radiance Fields
It is desirable to create 3D object models and 3D maps from 2D input images for applications such as navigation, virtual tourism, and urban planning. The traditional methods of creating 3D maps, (such as photogrammetry),…
NeRFObject