• No results found

active remote sensing

The most widely used active remote sensing systems include:

The most widely used active remote sensing systems include:

... The general rule of thumb for how far microwave energy will penetrate into a dry substance is that the penetration should be equal to the wavelength of the radar system. However,, active microwave energy may ...

29

Novel Technique and Technologies for Active Optical Remote Sensing of Greenhouse Gases

Novel Technique and Technologies for Active Optical Remote Sensing of Greenhouse Gases

... instrument sensing wavelength to meet certain measurement objective depending on the target or Earth’s surface condition and ...space-based active remote ...

6

Remote Sensing in Agriculture

Remote Sensing in Agriculture

... investigated. Remote sensing is the science and technology of making inferences about material objects from measurement made at a distance without coming into physical contact with the object under ...

6

Principles of Remote Sensing

Principles of Remote Sensing

... Remote sensing techniques allow taking images of the earth surface in various wavelength region of the electromagnetic spectrum ...as active remote sensing, since the energy source is ...

16

Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes

Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes

... and active remote ...spectral remote-sensing method are its availability and ability to cover large areas; on the other hand, it only senses the soil ...

39

Combining transductive and active learning to improve object-based classification of remote sensing images

Combining transductive and active learning to improve object-based classification of remote sensing images

... new active transductive learning (ATL) framework for object-based classi fication of satellite ...with active learning (AL) to exploit positive aspects of the two learning ...

11

Fundamentels of Remote Sensing

Fundamentels of Remote Sensing

... viewing a much smaller area than the astronaut. There is a similar difference between satellite images and airphotos. The detail discernible in an image is dependent on the spatial resolution of the sensor and refers to ...

258

Active Microwave Remote Sensing of Oceans

Active Microwave Remote Sensing of Oceans

... The environmental monitoring require- ments may be broadly grouped into three re- gions: estuarine and coastal (including the Great Lakes), open ocean areas with major current systems, a[r] ...

6

A novel active learning technique for multi-label remote sensing image scene classification

A novel active learning technique for multi-label remote sensing image scene classification

... With the continuous advances in satellite technology, the past decade has observed a tremendous growth in remote sensing (RS) image archives [1]. Accordingly, classification of RS image scenes, which are ...

9

Remote Sensing ISSN

Remote Sensing ISSN

... A different group of building detection and location techniques are those based on the combination of imagery and three-dimensional data. The use of two complementary sources of data usually improves the results. Most of ...

23

Remote Sensing of Environment

Remote Sensing of Environment

... of remote sensing opportunities exist to monitor such mass ...in remote sensing and image processing in general signi ficantly enhance the potential for applying matching techniques to detect ...

13

Remote Sensing of Environment

Remote Sensing of Environment

... an active and controlled source of light that is independent of external illumination, reducing the factors that affect the measured spectra and allowing for measurements at any time of ...

10

INTRODUCTION TO REMOTE SENSING

INTRODUCTION TO REMOTE SENSING

... which remote sensors are mounted, usually satellites and ...addition, remote sensors can be mounted on structures such as bridges (to sense water flow or levels, or traffic patterns over bridges) and ...

38

Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval

Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval

... 2012), a multichannel algorithm that inverts a forward scattering model and retrieves RMS height s and the dielectric constant by minimizing a cost function. Vegetation effects are quantified by auxiliary data or by the ...

135

Monitoring of the Arctic by Remote Sensing

Monitoring of the Arctic by Remote Sensing

...  Doppler Centroide Frequency (from Doppler (Azimuth) spectrum)  Ocean surface current (radial motion of surface scatterer ).. Page[r] ...

49

An overview of GNSS remote sensing

An overview of GNSS remote sensing

... For satellite-borne GNSS applications, various modifi- cations of terrestrial receivers are required, including hardware and software modifications to enhance surviv- ability in a space environment (temperature, vacuum, ...

14

Remote Sensing for Geographical Analysis

Remote Sensing for Geographical Analysis

... This course has ten lab assignments. The practical lab exercises provide a way to acquire skills in processing, analyzing and interpreting various digital remote sensing data. ENVI will be used as the major ...

5

Application of Remote Sensing in Flood

Application of Remote Sensing in Flood

... Optical remote sensing techniques, though provide very fine spatial resolution, are less capable of penetrating through the clouds, which limit their application in bad weather ...microwave remote ...

10

REMOTE SENSING A FUTURE TECHNOLOGY

REMOTE SENSING A FUTURE TECHNOLOGY

... Precision Farming and Remote Sensing Precision Farming (PF), in certain fields of agricultural crop production, already happens without RS. In a number of applied precison techniques, RS will not be ...

6

Nonconvex regularization in remote sensing

Nonconvex regularization in remote sensing

... In recent years, there has been a trend in the study of unbiased sparse regularizers. These regularizers, typically the ℓ 0 , ℓ q , and log sum penalty (LSP) [40], can solve the dilemma between sparsity and performance ...

12

Show all 10000 documents...

Related subjects