Zobrazeno 1 - 10
of 493
pro vyhledávání: '"high-resolution remote sensing images"'
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
Accurate and complete road network extraction plays a critical role in urban planning, street navigation, and emergency response. At present, narrow roads are a main feature in most public road datasets. However, the continuity and boundary completen
Externí odkaz:
https://doaj.org/article/efc6796467c84c3e9b2566fd97bc5d19
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Arable land is the fundamental guarantee of agricultural production, and accessing accurate arable land information is particularly crucial. A novel deep learning model named CNX-eMLP with ConvNeXt as the backbone and an enhanced Multilayer Perceptro
Externí odkaz:
https://doaj.org/article/42ae19afff3141d89ebc3f9a5d2d9b07
Publikováno v:
Zhejiang Daxue xuebao. Lixue ban, Vol 51, Iss 2, Pp 131-142 (2024)
High spatial resolution remote sensing images contain rich information, it is therefore very important to study their semantic segmentation. Traditional machine learning methods appear low accuracy and efficiency when used for segmenting high-resolut
Externí odkaz:
https://doaj.org/article/91a8827f7d9541ddbf34b7b47ff39e0f
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Ephemeral gully headcut erosion contributes significantly to global land degradation and increased sediment yields, but the underlying driving factors and prediction models remain poorly understood. We conduct a comprehensive quantitative analysis of
Externí odkaz:
https://doaj.org/article/c3e127b37f214483b9d7624c59af4856
Autor:
Ai Gao, Guang Yang
Publikováno v:
PeerJ Computer Science, Vol 10, p e2006 (2024)
Automatic building extraction from very high-resolution remote sensing images is of great significance in several application domains, such as emergency information analysis and intelligent city construction. In recent years, with the development of
Externí odkaz:
https://doaj.org/article/b9d8fce2bf624856beef953da9981ae7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6514-6528 (2024)
Extracting building heights from single-view remote sensing images greatly enhances the application of remote sensing data. While methods for extracting building height from single-view shadow images have been widely studied, it remains a challenging
Externí odkaz:
https://doaj.org/article/b46436f217e2466ab7a079d5cde60833
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3664-3673 (2024)
Semantic segmentation is a basic task in the interpretation of remote sensing images. Mainstream deep-learning-based semantic segmentation algorithms typically process images with small sizes. However, remote sensing images typically involve large ar
Externí odkaz:
https://doaj.org/article/3f08fd084f7f4a86bcb16f2ccdbdb8f3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2489-2500 (2024)
This article addresses the problem of building segmentation for rural areas with high-resolution remote sensing images. Due to the irregular spatial distribution of rural buildings, it is often challenging to perform pixel-wise dense prediction to en
Externí odkaz:
https://doaj.org/article/4f8cb010b0694790b2700a781830091f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1638-1655 (2024)
Rapid and reliable gully erosion (GE) extraction from high-resolution remote sensing (HRRS) images is crucial for the development of land protection measures. For this task, semantic segmentation methods are widely considered the state-of-the-art sol
Externí odkaz:
https://doaj.org/article/76f68b8326c44cd896fcf9b8fccd4c47
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 323-339 (2024)
Existing zero-watermarking algorithms for remote sensing images heavily rely on traditional feature extraction techniques, which are vulnerable to targeted attacks and lack discriminability for images captured by different sensors or at different tim
Externí odkaz:
https://doaj.org/article/23bb2a27515440dbac1fedfec1aa0a53