There are a great deal of obvious issues about effects of scale and scaling conversion that need to be solved for agricultural condition monitoring using remote sensing. In this paper, a serial of researches about them were performed so as to service practical requirements of agricultural condition remote sensing monitoring, especially in the dynamic monitoring of crops growth using remote sens...

Edges are vital features to describe the structural information of images, especially high spatial resolution remote sensing images. Edge features can be used to define the boundaries between different ground objects in high spatial resolution remote sensing images. Thus edge detection is important in the remote sensing image processing. Even though many different edge detection algorithms have...

Abstract: The remote sensing images are increasing day by day therefore storage and retrieval of these images is of significant importance. In this paper a prototype model for retrieval of remote sensing images on the basis of color moment and gray level co-occurrence matrix feature is developed and different vegetation index feature is extractor as color, texture and spectral. These three feat...

Grid workflow is an intuitive and convenient tool for user to use Grid services. It provides a framework for solving the remote sensing distributable computing problem in an integrated unified processing environment of Grid services. This paper firstly introduces the architecture of Grid workflow processing framework applying for remote sensing quantitative retrieval service. And then it gives ...

Conventional query techniques for remote sensing image archives as they are available from various satellite data providers are reviewed. The Swiss National Remote Sensing Image Archive is currently being installed at the Swiss Center for Scientific Computing (CSCS/SCSC) and a status report will be given. In parallel with classical query and retrieval possibilities, content-based image search b...

The fast mineral exploration system with remote sensing is a brand new exploration system of recognition, identification, analysis and prediction. It takes metallogenic materials as the detection targets, uses the spectrum measuring technique as detection means and takes the spatial and temporal sequence of mineralization and alteration information as an evaluation basis. It develops and improv...

In recent years the use of remote sensing imagery to classify and map vegetation over different spatial scales has gained wide acceptance in the research community. Many national and regional datasets have been derived using remote sensing data. However, much of this research was undertaken using multispectral remote sensing datasets. With advances in remote sensing technologies, the use of hyp...

Peer review is an essential part of the publication process, ensuring that Remote Sensing maintains the high standard of its published papers. Thanks to our reviewers, the median time from submission to first decision has been reduced to 28 days. The following referees have been selected by the Editor-in-Chief of Remote Sensing, Prof. Prasad Thenkabail, to receive the “Remote Sensing 2017 Best ...

This paper first reviewed the relevant theories of neural network, rough sets and support vector machine (SVM). All of them have great advantages on dealing with various imprecise and incomeplete data. However, there exists essential difference among them. Except for neural network, rough sets and support vector machine are seldom used in the field of remote sensing image classification. How to...