Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Menglong Yan"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8703-8717 (2021)
Point cloud classification is regarded as a critical task in remote sensing data interpretation, which is widely used in many fields. Recently, many proposed methods tend to develop an end-to-end network to directly operate on the raw point cloud, wh
Externí odkaz:
https://doaj.org/article/1b38b7f1dcc54fd88ee67fa522fa39cc
Publikováno v:
IEEE Access, Vol 7, Pp 137355-137364 (2019)
Owing to the effectiveness in selectively focusing on regions of interest of images, the attention mechanism has been widely used in image caption task, which can provide more accurate image information for training deep sequential models. Existing a
Externí odkaz:
https://doaj.org/article/9d57675f8b404d8db8eee3ed2eabba96
Publikováno v:
IEEE Access, Vol 7, Pp 77597-77606 (2019)
The state-of-the-art object detection frameworks require the training on large-scale datasets, which is the crux of the present dilemma: overfitting or degrading performance with insufficient samples and time-consuming training process. On the basis
Externí odkaz:
https://doaj.org/article/985f65fc9c2e42e0ba751d2d9ce8d7fd
Publikováno v:
IEEE Access, Vol 6, Pp 50839-50849 (2018)
Ship detection is of great importance and full of challenges in the field of remote sensing. The complexity of application scenarios, the redundancy of detection region, and the difficulty of dense ship detection are all the main obstacles that limit
Externí odkaz:
https://doaj.org/article/a44135ed267d49e288d2e14979034788
Publikováno v:
IEEE Access, Vol 6, Pp 39401-39414 (2018)
Unlike single geospatial objects extraction from high-resolution remote sensing images, the task of road extraction faces more challenges, including its narrowness, sparsity, diversity, multiscale characteristics, and class imbalance. Focusing on the
Externí odkaz:
https://doaj.org/article/33c468ead63c4ca3b8aeb0a9ea345893
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 528 (2021)
Semantic segmentation of multi-modal remote sensing images is an important branch of remote sensing image interpretation. Multi-modal data has been proven to provide rich complementary information to deal with complex scenes. In recent years, semanti
Externí odkaz:
https://doaj.org/article/a43679f359144c4e8489303e05237480
Publikováno v:
Remote Sensing, Vol 12, Iss 19, p 3169 (2020)
Weakly supervised semantic segmentation in aerial images has attracted growing research attention due to the significant saving in annotation cost. Most of the current approaches are based on one specific pseudo label. These methods easily overfit th
Externí odkaz:
https://doaj.org/article/1b1ab6b680c148fb83f087958a8c124d
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2349 (2019)
Significant progress has been made in remote sensing image captioning by encoder-decoder frameworks. The conventional attention mechanism is prevalent in this task but still has some drawbacks. The conventional attention mechanism only uses visual in
Externí odkaz:
https://doaj.org/article/592fb37844714be69261b86f08802584
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1901 (2019)
Ship category classification in high-resolution aerial images has attracted great interest in applications such as maritime security, naval construction, and port management. However, the applications of previous methods were mainly limited by the fo
Externí odkaz:
https://doaj.org/article/3a1327fb2a2442a9a63b1eb2513903cd
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 544 (2019)
Aircraft recognition in remote sensing images has long been a meaningful topic. Most related methods treat entire images as a whole and do not concentrate on the features of parts. In fact, a variety of aircraft types have small interclass variance,
Externí odkaz:
https://doaj.org/article/7681ad455947464591fa00316934895d