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- High-resolution remote sensing images123:
- Are obtained from remotely sensed sensors and platforms.
- Include optical imagery, SAR, and LiDAR.
- Reveal finer details such as individual trees, vehicles, buildings, and more2.
- Are widely available, opening new opportunities for geo-related applications1.
- Are characterized by spatial features of large spatial scales across multiple directions, which are crucial for dense prediction tasks such as semantic segmentation and change detection3.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.With the rapid development of remotely sensed sensors and platforms, multi-source high resolution remote sensing images (e.g., optical imagery, SAR, and LiDAR) are widely available, opening new opportunities for geo-related applications.www.mdpi.com/journal/remotesensing/special_issu…High-resolution remote sensing photography has the apparent benefit of revealing finer details such as individual trees, vehicles, buildings, and more. In EOSDA LandViewer, you may choose from eight data sets from satellites with the highest spatial resolutions, ranging from 5 meters (SPOT 5) to 40 centimeters (Kompsat-3A).eos.com/blog/spatial-resolution/VHR remote sensing images are characterized by spatial features of large spatial scales across multiple directions, which are crucial for dense prediction tasks such as semantic segmentation and change detection.arxiv.org/html/2404.02668v1 - People also ask
Water body extraction from high spatial resolution remote sensing ...
Jul 12, 2024 · To overcome these difficulties, this paper presents a novel network model named EU-Net, specifically designed to extract water bodies from high-resolution remote sensing …
See results only from nature.comRS-Dseg: semantic segmen…
In this paper, we explore the application of diffusion models in the semantic …
Joint superpixel and Transfo…
Deep neural networks combined with superpixel segmentation have proven to …
An improved semantic segm…
High-resolution remote sensing images can give rich feature information and finely …
Automatic registration of u…
Automatic registration of high-resolution remote sensing images (HRRSIs) has …
Extraction of water bodies fr…
Addressing the challenge of indistinct boundaries and the erroneous …
Land-cover classification with high-resolution remote sensing …
Feb 1, 2020 · To our knowledge, GID is the first and largest well-annotated land-cover classification dataset with high-resolution remote sensing images up to 4 m. It can provide the …
- Studies of high resolution remote sensing images
High-Resolution Remote Sensing Image Semantic Segmentation …
Oct 17, 2022 · It combines the benefits of the self-attention mechanism with CNN to improve the segmentation quality of various remote sensing images. The MSCSANet extracts multiscale …
A comprehensive review on deep learning based remote sensing …
Sep 1, 2022 · Single Remote Sensing Image Super Resolution (SRSISR) provides effective solutions to increase the spatial and/or spectral resolution of low-resolution satellite image …
RS-Dseg: semantic segmentation of high-resolution remote …
Aug 10, 2024 · In this paper, we explore the application of diffusion models in the semantic segmentation of high-resolution remote sensing images, leading to the simplification of existing …
Joint superpixel and Transformer for high resolution remote …
Mar 1, 2024 · Deep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification.
Scale-aware deep reinforcement learning for high resolution …
Mar 1, 2024 · The development of sensors has led to an increase in the spatial resolution of remote sensing images, which allows us to obtain high spatial resolution (HSR) remote …
Boundary-enhanced dual-stream network for semantic …
Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs).
High spatial resolution remote sensing image segmentation
Jan 3, 2021 · High-resolution remote sensing images can provide many surface features, such as shape, texture, size and other features, with a richer spatial information that can better …
Enhancing Ultra High Resolution Remote Sensing Imagery …
3 days ago · Ultra High Resolution (UHR) remote sensing imagery (RSI) (e.g. 100,000 $\\times$ 100,000 pixels or more) poses a significant challenge for current Remote Sensing Multimodal …
ESC-MISR: Enhancing Spatial Correlations for Multi-Image Super ...
Nov 7, 2024 · Super-resolution algorithms serve the reconstruction of a High-Resolution (HR) image from one or a set of Low-Resolution (LR) images. High-Resolution (HR) remote sensing …
A review of building detection from very high resolution optical …
Aug 5, 2022 · Building detection from very high resolution (VHR) optical remote sensing images, which is an essential but challenging task in remote sensing, has attracted increased attention …
FusionMamba: Efficient Remote Sensing Image Fusion with State …
5 days ago · Remote sensing image fusion aims to generate a high-resolution multi/hyper-spectral image by combining a high-resolution image with limited spectral data and a low-resolution …
High Resolution Remote Sensing Image Classification Based on …
To improve the automatic classification accuracy of remote sensing images, this study raises a high-resolution remote sensing image classification model that combines deep transfer …
An improved semantic segmentation algorithm for high-resolution …
Apr 27, 2024 · High-resolution remote sensing images can give rich feature information and finely present the spatial structure and textural features due to their complex and diversified …
satellite-image-deep-learning/datasets - GitHub
291 coregistered image pairs of high resolution RGB aerial images; Pixel-level change and land cover annotations are provided
Disparity Estimation of High-Resolution Remote Sensing Images …
Dec 13, 2021 · In this paper, we propose a novel end-to-end CNN architecture named dual-scale matching network (DSM-Net) for disparity estimation of high-resolution remote sensing …
Efficient Swin Transformer for Remote Sensing Image Super …
Nov 6, 2024 · Abstract: Remote sensing super-resolution (SR) technique, which aims to generate high-resolution image with rich spatial details from its low-resolution counterpart, play a vital …
High-Resolution Remote Sensing Image Retrieval Based on …
Jul 14, 2017 · In this paper, we propose that more powerful features for high-resolution remote sensing image representations can be learned using only several tens of codes; this approach …
Extraction of water bodies from high-resolution remote sensing …
Jun 25, 2024 · Addressing the challenge of indistinct boundaries and the erroneous classification of shadowed regions as water in high-resolution remote sensing imagery, we introduce …
High-resolution remote sensing images semantic segmentation …
May 1, 2023 · Semantic segmentation for high-resolution (HR) remote sensing (RS) images under the condition of a small number of training samples with imprecise labels is a challenging task. …
Researchers use high-resolution images to create model that …
2 days ago · LIDAR (Light Detection and Ranging) is an airborne remote sensing method that uses light in the form of a pulsed laser to generate precise 3D images of the Earth's surface. …
Road Extraction Methods in High-Resolution Remote Sensing …
Abstract: Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are invented to deal with this …
Enhancing crop yield estimation from remote sensing data: a
4 days ago · The use of high-altitude remote sensing (RS) data from aerial and satellite platforms presents considerable challenges for agricultural monitoring and crop yield estimation due to …
Automatic registration of urban high-resolution remote sensing …
Aug 24, 2022 · Automatic registration of high-resolution remote sensing images (HRRSIs) has always been a severe challenge due to the local deformation caused by different shooting …
RS-DETR: An Improved Remote Sensing Object Detection Model …
6 days ago · Experimental results on the satellite imagery multi-vehicles dataset (SIMD) and the high-resolution remote sensing object detection (TGRS-HRRSD) dataset show that the …
High-resolution sensors and deep learning models for tree
1 day ago · Very high-resolution optical remote sensing opens a new pathway towards the dissolution of boundaries between these two different levels of scale targeted by ecosystem …
Semantic Descriptions of High-Resolution Remote Sensing Images
Semantic Descriptions of High-Resolution Remote Sensing Images Abstract: Image captioning has attracted more and more attention in remote sensing filed since it provides more specific …
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