scholarly journals Spatiotemporal Fusion in Remote Sensing

2020 ◽  
Author(s):  
Hessah Albanwan ◽  
Rongjun Qin
Keyword(s):  
Remote Sensing ◽  
Quality Improvement ◽  
Data Quality ◽  
Information Extraction ◽  
Remote Sensing Images ◽  
Sensing Applications ◽  
Surface Data ◽  
Remote Sensing Applications ◽  
Basic Concepts ◽  
Free Set

Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying acquisition (e.g., atmosphere and season), sensor and platform (e.g., satellite angles and sensor characteristics) conditions. With the increasing development of satellites, nowadays Terabytes of remote sensing images can be acquired every day. Therefore, information and data fusion can be particularly important in the remote sensing community. The fusion integrates data from various sources acquired asynchronously for information extraction, analysis, and quality improvement. In this chapter, we aim to discuss the theory of spatiotemporal fusion by investigating previous works, in addition to describing the basic concepts and some of its applications by summarizing our prior and ongoing works.

scholarly journals Open Set Semantic Segmentation of Remote Sensing Images

2020 ◽  
Author(s):  
Caio Cesar Viana Da Silva ◽  
Jefersson Alex Dos Santos
Keyword(s):  
Remote Sensing ◽  
Semantic Segmentation ◽  
Remote Sensing Images ◽  
Computational Vision ◽  
Closed Set ◽  
Sensing Applications ◽  
Open Set ◽  
The World ◽  
Remote Sensing Applications ◽  
Novel Approaches

The development of computational vision approaches that exploit satellite imagery is relatively recent, mainly due to the limited availability of this type of image. In the area of remote sensing, applications that employ computational vision techniques are modeled for classification in closed set scenarios. However, the world is not purely closed set, many scenarios present classes that are not previously known by the algorithm, an open set scenario. Thus, the main objective of this paper is the study and development of semantic segmentation techniques considering the open set scenario applied to remote sensing images. Focusing on this problem, this is the first work to study and develop semantic segmentation techniques for open set scenarios applied to remote sensing images. The main contributions of this paper are: 1) a discussion of related works in open set semantic segmentation, showing evidence that these techniques can be adapted for open set remote sensing tasks; 2) the development and evaluation of four novel approaches for open set semantic segmentation. Our methods yielded competitive results when compared to closed set methods for the same dataset

scholarly journals PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLICATIONS

2018 ◽  
Vol XLII-3 ◽  
pp. 15-22 ◽  
Author(s):  
F. Albrecht ◽  
T. Blaschke ◽  
S. Lang ◽  
H. M. Abdulmutalib ◽  
G. Szabó ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Quality ◽  
Quality Criteria ◽  
Assessment Data ◽  
Complete Understanding ◽  
Cloud Processing ◽  
Sensing Applications ◽  
Information Products ◽  
Remote Sensing Applications ◽  
Assess Data Quality

The availability and accessibility of remote sensing (RS) data, cloud processing platforms and provided information products and services has increased the size and diversity of the RS user community. This development also generates a need for validation approaches to assess data quality. Validation approaches employ quality criteria in their assessment. Data Quality (DQ) dimensions as the basis for quality criteria have been deeply investigated in the database area and in the remote sensing domain. Several standards exist within the RS domain but a general classification – established for databases – has been adapted only recently. For an easier identification of research opportunities, a better understanding is required how quality criteria are employed in the RS lifecycle. Therefore, this research investigates how quality criteria support decisions that guide the RS lifecycle and how they relate to the measured DQ dimensions. Subsequently follows an overview of the relevant standards in the RS domain that is matched to the RS lifecycle. Conclusively, the required research needs are identified that would enable a complete understanding of the interrelationships between the RS lifecycle, the data sources and the DQ dimensions, an understanding that would be very valuable for designing validation approaches in RS.

Enhancing the Binary Watermark-Based Data Hiding Scheme Using an Interpolation-Based Approach for Optical Remote Sensing Images

2018 ◽  
Vol 9 (2) ◽  
pp. 53-71 ◽  
Author(s):  
Mohammad Reza Khosravi ◽  
Habib Rostami ◽  
Sadegh Samadi
Keyword(s):  
Remote Sensing ◽  
Multimedia Data ◽  
Computer Networking ◽  
Optical Remote Sensing ◽  
Embedding Capacity ◽  
Remote Sensing Images ◽  
Sensing Applications ◽  
Original Scheme ◽  
Remote Sensing Applications ◽  
Watermarking Scheme

Computer networking and internet developments create new challenges in information security and copyright protection. In order to protect the multimedia data and also in some cases, for information management, the authors can use watermarking schemes to achieve more security. In this article, the authors firstly review a watermarking scheme for remote sensing applications, represented by Zhu et al.; They also explain two problems in Zhu et al.'s scheme and in addition, introduce two solutions for these problems. Generally, Zhu et al.'s scheme is a non-blind scheme that also does not have any attention to watermarked image quality, thus they try to represent ways in order to achieve the blind and quality-aware watermarking. Experimental results confirm that both of their modifications have suitable effectiveness than the original scheme whereas in practice, their modifications create an output with embedding capacity like the original scheme but it is high quality and also blind.

scholarly journals A Soft Shadow Detection Method Based on MRF for Remote Sensing Images

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Pengwei Li ◽  
Wenying Ge
Keyword(s):  
Remote Sensing ◽  
Spatial Information ◽  
Detection Method ◽  
Spectral Characteristics ◽  
Shadow Detection ◽  
Detection Methods ◽  
Remote Sensing Images ◽  
Sensing Applications ◽  
Soft Shadow ◽  
Remote Sensing Applications

Shadows limit many remote sensing applications such as classification, target detection, and change detection. Most current shadow detection methods utilize the histogram threshold of spectral characteristics to distinguish the shadows and nonshadows directly, called “hard binary shadow.” Obviously, the performance of threshold-based methods heavily rely on the selected threshold. Simultaneously, these threshold-based methods do not take any spatial information into account. To overcome these shortcomings, a soft shadow description method is developed by introducing the concept of opacity into shadow detection, and MRF-based shadow detection method is proposed in order to make use of neighborhood information. Experiments on remote sensing images have shown that the proposed method can obtain more accurate detection results.

scholarly journals A Review of Free Optical Satellite Imagery for Watershed-Scale Landscape Analysis

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Alexandre Bevington ◽  
Hunter Gleason ◽  
Xavier Giroux-Bougard ◽  
J. Tyler De Jong
Keyword(s):  
Remote Sensing ◽  
Environmental Change ◽  
Satellite Imagery ◽  
Reference Materials ◽  
Landscape Analysis ◽  
Western Canada ◽  
Watershed Scale ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Basic Concepts

Watershed-scale landscape analysis includes many disciplines, including ecological, hydrological, and geographical sciences. The recent proliferation of free optical satellite imagery (FOSI) has changed the possibilities for the monitoring of environmental change at local and global scales. Many reviews exist for discipline-specific remote sensing applications; however, this article seeks to highlight the rapidly growing archive of FOSI and applied tools that can be used by all levels of users. Herein, ten techniques and eight applications of FOSI are reviewed, along with the specifications and limitations of various sources of FOSI. Although this review focuses on Western Canada, the democratization of FOSI is globally relevant, and the objective is to explain basic concepts via figures and reference materials to help summarize this rapidly changing field.

scholarly journals UAV & satellite synergies for optical remote sensing applications: A literature review

2021 ◽  
Vol 3 ◽  
pp. 100019
Author(s):  
Alvarez-Vanhard Emilien ◽  
Corpetti Thomas ◽  
Houet Thomas
Keyword(s):  
Remote Sensing ◽  
Literature Review ◽  
Optical Remote Sensing ◽  
Sensing Applications ◽  
Remote Sensing Applications
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