remote sensing image dataset (GeoEye LLC)
90
Structured Review
GeoEye LLC
remote sensing image dataset
Remote Sensing Image Dataset, supplied by GeoEye LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/remote+sensing+datasets/remote+sensing+images/pmc08062175-177-1-2
Average 90 stars, based on 1 article reviews
Remote Sensing Image Dataset, supplied by GeoEye LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/remote+sensing+datasets/remote+sensing+images/pmc08062175-177-1-2
Average 90 stars, based on 1 article reviews
remote sensing image dataset - by Bioz Stars,
2026-11
90/100 stars
Images
Related Articles
other:Article Title: Optimization of Remote Sensing Image Segmentation by a Customized Parallel Sine Cosine Algorithm Based on the Taguchi Method Article Snippet: Article Title: A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification Article Snippet: In this subsection, the presented technique will be applied to mosaics comprising regions made of remote sensing images from the Article Title: Optimization of Remote Sensing Image Segmentation by a Customized Parallel Sine Cosine Algorithm Based on the Taguchi Method Article Snippet: Article Title: Pansharpening With Multiscale Geometric Support Tensor Machine Article Snippet: In this paper, a new pansharpening method is proposed by constructing a set of multiscale geometric support tensor filters (MGSTFs).. First, a least-square ridgelet support tensor machine is developed to derive a series of MGSTFs.. Then the source images are formulated as tensors and filtered by MGSTFs to capture geometric and salient features of images. Article Title: High-resolution image registration based on improved SURF detector and localized GTM Article Snippet: High-resolution image registration is an important task in remote sensing image processing.. In this paper, an automatic and robust local feature-based image registration approach is proposed for high-resolution remote sensing images.. The proposed method consists of four main steps. Article Title: Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach Article Snippet: Remote-sensing satellites range from coarse spatial resolution (MODIS and AVHRR, etc.) to medium-resolution (Sentinel-2 and Landsat-8, etc.) and Article Title: High-Resolution Remote Sensing Image Classification with RmRMR-Enhanced Bag of Visual Words Article Snippet: The Article Title: Quarrying and its effect on vegetation cover for a sustainable development using high-resolution satellite image and GIS Article Snippet: Huge vegetal losses caused by unsustainable quarrying practices have limited the role played by vegetation cover in mitigating the global impact of climate change.. There is a need for a holistic study that will employ remotely sensed data in GIS domain to determine the extent of the effect of quarrying activities on vegetation cover in the study area.. The need for extraordinary details with high accuracy and enhanced imagery has necessitated the use of Geo-Eye-1 satellite imagery with 1-m resolution for 2015. |