Relative radiometric correction of high-resolution remote sensing images based on feature category
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-017-1526-8
Abstract: The assumption that the spectral responses of different types ground objects in different periods have the same linear relationship in traditional relative radiometric correction (RRC) is insufficient for the analysis of high-resolution remote sensing images.… read more here.
Keywords: resolution; high resolution; sensing images; resolution remote ... See more keywords
Impact cratering in and around the Orientale Basin: Results from recent high-resolution remote sensing datasets
Sign Up to like & getrecommendations! Published in 2019 at "Icarus"
DOI: 10.1016/j.icarus.2019.06.018
Abstract: Abstract Impact craters are the predominant geological features on the lunar surface. Data about the craters are crucial for inferring information about surface age, the generation processes of the geological units, and the sequences of… read more here.
Keywords: crater; around orientale; orientale basin; basin ... See more keywords
Performance Evaluation Towards Automatic Building and Road Detection Technique for High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2021 at "Iete Journal of Research"
DOI: 10.1080/03772063.2021.1893228
Abstract: Building and road detection from the high-resolution remote sensing images has many applications in a wide range of areas including urban design, real-estate management, and disaster relief. Extrac... read more here.
Keywords: high resolution; sensing images; resolution remote; building road ... See more keywords
High spatial resolution remote sensing models for landscape-scale CO₂ exchange in the Canadian Arctic
Sign Up to like & getrecommendations! Published in 2020 at "Arctic, Antarctic, and Alpine Research"
DOI: 10.1080/15230430.2020.1750805
Abstract: ABSTRACT Climate warming is affecting terrestrial ecosystems in the Canadian Arctic, potentially altering the carbon balance of the landscape and contributing additional CO2 to the atmosphere. High spatial resolution remote sensing data can enhance models… read more here.
Keywords: high spatial; resolution remote; canadian arctic; remote sensing ... See more keywords
Change detection based on Faster R-CNN for high-resolution remote sensing images
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2018.1492172
Abstract: ABSTRACT Change detection is of great significance in remote sensing. The advent of high-resolution remote sensing images has greatly increased our ability to monitor land use and land cover changes from space. At the same… read more here.
Keywords: high resolution; detection; resolution remote; remote sensing ... See more keywords
Visual Saliency Detection in High-Resolution Remote Sensing Images Using Object-Oriented Random Walk Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3179461
Abstract: As high-resolution remote sensing images begin to integrate new characteristics, such as a great volume of data, a wide variety of ground objects, and high structural complexity, traditional methods previously used for feature extraction in… read more here.
Keywords: remote sensing; high resolution; resolution remote; object oriented ... See more keywords
R&D-Net: Integration of Registration-Net and Detection-Net for Identifying Building Changes in High Spatial-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3344939
Abstract: In the detection of building changes in high spatial-resolution remote sensing images, both the distribution position and surface characteristics of the same objects are probably different under different imaging phases, which potentially causes high false… read more here.
Keywords: detection; remote sensing; net; building changes ... See more keywords
BuildNext-Net: A Network Based on Self-Attention and Equipped With an Efficient Decoder for Extracting Buildings From High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3553907
Abstract: As is known, the accurate extraction of buildings from high-resolution remote sensing images has become a pivotal objective. In some complex scenes (e.g., there will be objects with a similar spectral texture to buildings in… read more here.
Keywords: buildings high; resolution remote; remote sensing; network ... See more keywords
Deep Learning for High-Resolution Remote Sensing Change Detection: Task Taxonomy, Datasets, and Perspectives
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3622204
Abstract: Change detection (CD) aims to reveal the dynamic evolution of the Earth’s surface by analyzing multitemporal remote sensing imagery, exhibiting significant application value in critical domains such as emergency management. With the continuous improvement in… read more here.
Keywords: task; change detection; remote sensing; change ... See more keywords
Effective Building Extraction From High-Resolution Remote Sensing Images With Multitask Driven Deep Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2880986
Abstract: Building extraction from high-resolution remote sensing images has widely been studied for its great significance in obtaining geographic information. Many methods based on deep learning have been tried for the task; however, there is still… read more here.
Keywords: remote sensing; high resolution; building; sensing images ... See more keywords
Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3145499
Abstract: Semantic segmentation for high-resolution remote-sensing (HRRS) images is one of the most challenging tasks in remote-sensing images understanding. Capturing long-range dependencies in feature representations is crucial for semantic segmentation. Recent graph-based global reasoning networks (GloRe)… read more here.
Keywords: remote sensing; high resolution; segmentation high; resolution remote ... See more keywords