《Isprs Journal Of Photogrammetry And Remote Sensing》重点专注发布工程技术-成像科学与照相技术领域的新研究，旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。根据网友分享的投稿经验，平均审稿速度为 约9.0个月 约13.1周。该杂志创刊至今，在工程技术-成像科学与照相技术领域，影响力非凡，对来稿文章质量要求很高，稿件投稿过审难度很大，刊登文章的学术水平和编辑质量在同类杂志中均名列前茅。如果你想在该杂志上发表论文，你可以向编辑部提交文章，但文章必须具有重要意义并代表该领域专业的发展。我们欢迎广大同领域的研究者提交投稿。
| CiteScore | SJR | SNIP | CiteScore排名 | |||
|---|---|---|---|---|---|---|
| 21 | 3.76 | 2.991 | 学科类别 | 分区 | 排名 | 百分位 |
|
大类：大类：Engineering
小类：小类：Engineering(miscellaneous)
|
Q1 | 4/204 | 98% | |||
|
大类：大类：Engineering
小类：小类：ComputerScienceApplications
|
Q1 | 16/817 | 98% | |||
|
大类：大类：Engineering
小类：小类：ComputersinEarthSciences
|
Q1 | 2/73 | 97% | |||
|
大类：大类：Engineering
小类：小类：AtomicandMolecularPhysics,andOptics
|
Q1 | 8/224 | 96% | |||
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
|---|---|---|---|---|
| 学科：GEOGRAPHY, PHYSICAL | SCIE | Q1 | 1 / 65 | 99.2% |
| 学科：GEOSCIENCES, MULTIDISCIPLINARY | SCIE | Q1 | 6 / 253 | 97.8% |
| 学科：IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | SCIE | Q1 | 3 / 36 | 93.1% |
| 学科：REMOTE SENSING | SCIE | Q1 | 3 / 62 | 96% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
|---|---|---|---|---|
| 学科：GEOGRAPHY, PHYSICAL | SCIE | Q1 | 1 / 65 | 99.23% |
| 学科：GEOSCIENCES, MULTIDISCIPLINARY | SCIE | Q1 | 3 / 253 | 99.01% |
| 学科：IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | SCIE | Q1 | 2 / 36 | 95.83% |
| 学科：REMOTE SENSING | SCIE | Q1 | 2 / 62 | 97.58% |
文章名称
引用次数
Deep learning in remote sensing applications: A meta-analysis and review
146
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
99
A new deep convolutional neural network for fast hyperspectral image classification
72
Classification with an edge: Improving semantic with boundary detection
65
Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning
57
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
55
Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks
52
Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data
49
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
48
A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification
45
国家/地区
发文量
TCHINA MAINLAND
357
TUSA
163
TGERMANY (FED REP GER)
103
TCanada
63
TAustralia
45
TFrance
44
TNetherlands
40
TEngland
37
TSpain
31
TFinland
29
